ASUS System Product Name
Geekbench ML Score
1460
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Tao700 |
| Upload Date | January 12 2025 04:37 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-I GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
663
124.1 IPS |
|
|
Image Classification (F16)
|
100% |
654
122.4 IPS |
|
|
Image Classification (I8)
|
100% |
535
100.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
982
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
982
16.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
747
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5224
6.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
5228
6.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
3419
4.14 IPS |
|
|
Object Detection (F32)
|
100% |
786
58.7 IPS |
|
|
Object Detection (F16)
|
100% |
786
58.7 IPS |
|
|
Object Detection (I8)
|
54% |
635
47.4 IPS |
|
|
Face Detection (F32)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (I8)
|
89% |
1023
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2969
23.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2964
23.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2259
17.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10489
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10484
13.8 IPS |
|
|
Style Transfer (I8)
|
98% |
7875
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1822
65.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1811
64.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
969
34.6 IPS |
|
|
Text Classification (F32)
|
100% |
757
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
769
1.10 KIPS |
|
|
Text Classification (I8)
|
98% |
396
568.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1011
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1008
18.5 IPS |
|
|
Machine Translation (I8)
|
70% |
504
9.28 IPS |
