ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D500TE_S500TE
Geekbench ML Score
1396
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | June 20 2025 04:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D500TE_S500TE |
| Motherboard | ASUSTeK COMPUTER INC. D500TE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 4.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
660
123.6 IPS |
|
|
Image Classification (F16)
|
100% |
665
124.5 IPS |
|
|
Image Classification (I8)
|
100% |
540
101.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
952
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
949
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
741
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4940
5.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
5012
6.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
3364
4.07 IPS |
|
|
Object Detection (F32)
|
100% |
781
58.3 IPS |
|
|
Object Detection (F16)
|
100% |
698
52.1 IPS |
|
|
Object Detection (I8)
|
54% |
608
45.4 IPS |
|
|
Face Detection (F32)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (I8)
|
89% |
915
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2972
23.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2963
23.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2266
17.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10546
13.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10542
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
7927
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1842
65.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1832
65.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
979
35.0 IPS |
|
|
Text Classification (F32)
|
100% |
844
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
850
1.22 KIPS |
|
|
Text Classification (I8)
|
98% |
413
593.3 IPS |
|
|
Machine Translation (F32)
|
100% |
696
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
701
12.9 IPS |
|
|
Machine Translation (I8)
|
70% |
393
7.23 IPS |
