ASUS System Product Name
Geekbench ML Score
15047
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | laduran |
| Upload Date | May 10 2025 07:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B760-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8467
1.58 KIPS |
|
|
Image Classification (F16)
|
100% |
8193
1.53 KIPS |
|
|
Image Classification (I8)
|
100% |
6763
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9904
165.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9969
166.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
8552
142.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
78326
94.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
76957
93.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
61507
74.5 IPS |
|
|
Object Detection (F32)
|
100% |
6190
462.1 IPS |
|
|
Object Detection (F16)
|
100% |
6474
483.3 IPS |
|
|
Object Detection (I8)
|
60% |
5548
414.2 IPS |
|
|
Face Detection (F32)
|
100% |
20871
248.2 IPS |
|
|
Face Detection (F16)
|
100% |
20330
241.7 IPS |
|
|
Face Detection (I8)
|
89% |
15694
186.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
58309
452.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
57683
447.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
44834
347.7 IPS |
|
|
Style Transfer (F32)
|
100% |
179425
236.0 IPS |
|
|
Style Transfer (F16)
|
100% |
179907
236.7 IPS |
|
|
Style Transfer (I8)
|
98% |
149258
196.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27818
993.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27842
994.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15967
570.2 IPS |
|
|
Text Classification (F32)
|
100% |
2437
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
2464
3.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1611
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
2544
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2525
46.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1737
32.0 IPS |
