ASUS All Series
Geekbench ML Score
1576
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 12:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. VANGUARD B85 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
712
133.3 IPS |
|
|
Image Classification (F16)
|
100% |
711
133.1 IPS |
|
|
Image Classification (I8)
|
100% |
595
111.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
986
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
816
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7067
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
7302
8.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
6477
7.84 IPS |
|
|
Object Detection (F32)
|
100% |
553
41.3 IPS |
|
|
Object Detection (F16)
|
100% |
556
41.5 IPS |
|
|
Object Detection (I8)
|
60% |
500
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (I8)
|
89% |
1326
15.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3776
29.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3782
29.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3229
25.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11936
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11604
15.3 IPS |
|
|
Style Transfer (I8)
|
98% |
10291
13.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3126
111.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3088
110.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2176
77.7 IPS |
|
|
Text Classification (F32)
|
100% |
532
764.8 IPS |
|
|
Text Classification (F16)
|
100% |
573
823.9 IPS |
|
|
Text Classification (I8)
|
98% |
344
495.0 IPS |
|
|
Machine Translation (F32)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
854
15.7 IPS |
|
|
Machine Translation (I8)
|
70% |
179
3.30 IPS |
