ASUS System Product Name
Geekbench ML Score
9280
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | laduran |
| Upload Date | September 23 2024 04:47 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 | Balanced |
| 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) A750 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4341
812.4 IPS |
|
|
Image Classification (F16)
|
100% |
4403
823.9 IPS |
|
|
Image Classification (I8)
|
99% |
3730
698.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
6412
107.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
6158
102.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
5806
97.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
70371
85.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
68675
83.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
55277
66.9 IPS |
|
|
Object Detection (F32)
|
100% |
4347
324.5 IPS |
|
|
Object Detection (F16)
|
100% |
4257
317.8 IPS |
|
|
Object Detection (I8)
|
60% |
3939
294.1 IPS |
|
|
Face Detection (F32)
|
100% |
13944
165.8 IPS |
|
|
Face Detection (F16)
|
100% |
14198
168.8 IPS |
|
|
Face Detection (I8)
|
88% |
10520
125.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
27053
209.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
26642
206.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
22477
174.3 IPS |
|
|
Style Transfer (F32)
|
100% |
150577
198.1 IPS |
|
|
Style Transfer (F16)
|
100% |
147147
193.6 IPS |
|
|
Style Transfer (I8)
|
98% |
115576
152.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16102
575.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16173
577.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11623
415.1 IPS |
|
|
Text Classification (F32)
|
90% |
691
993.6 IPS |
|
|
Text Classification (F16)
|
90% |
750
1.08 KIPS |
|
|
Text Classification (I8)
|
90% |
550
790.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1920
35.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1958
36.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1193
21.9 IPS |
