ASUS All Series
Geekbench ML Score
339
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:43 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. B85M-G |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1275 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics P4600/P4700 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
203
38.1 IPS |
|
|
Image Classification (F16)
|
100% |
203
37.9 IPS |
|
|
Image Classification (I8)
|
100% |
90
16.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
281
4.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
281
4.70 IPS |
|
|
Image Segmentation (I8)
|
98% |
118
1.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
1033
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1035
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
735
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
224
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
220
16.5 IPS |
|
|
Object Detection (I8)
|
63% |
122
9.08 IPS |
|
|
Face Detection (F32)
|
100% |
426
5.06 IPS |
|
|
Face Detection (F16)
|
100% |
425
5.05 IPS |
|
|
Face Detection (I8)
|
87% |
130
1.55 IPS |
|
|
Depth Estimation (F32)
|
100% |
743
5.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
741
5.74 IPS |
|
|
Depth Estimation (I8)
|
94% |
392
3.04 IPS |
|
|
Style Transfer (F32)
|
100% |
1695
2.23 IPS |
|
|
Style Transfer (F16)
|
100% |
1686
2.22 IPS |
|
|
Style Transfer (I8)
|
98% |
1187
1.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
583
20.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
587
21.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
260
9.30 IPS |
|
|
Text Classification (F32)
|
100% |
201
288.9 IPS |
|
|
Text Classification (F16)
|
100% |
231
331.9 IPS |
|
|
Text Classification (I8)
|
98% |
58
83.2 IPS |
|
|
Machine Translation (F32)
|
100% |
427
7.86 IPS |
|
|
Machine Translation (F16)
|
100% |
453
8.34 IPS |
|
|
Machine Translation (I8)
|
71% |
63
1.16 IPS |
