ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D500TE_S500TE
Geekbench ML Score
3735
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | June 20 2025 04:19 AM |
| Views | 4 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2323
434.6 IPS |
|
|
Image Classification (F16)
|
100% |
2314
433.0 IPS |
|
|
Image Classification (I8)
|
99% |
4098
766.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1718
28.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1657
27.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2610
43.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8536
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8409
10.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
23724
28.7 IPS |
|
|
Object Detection (F32)
|
100% |
1823
136.1 IPS |
|
|
Object Detection (F16)
|
100% |
1784
133.2 IPS |
|
|
Object Detection (I8)
|
62% |
2056
153.5 IPS |
|
|
Face Detection (F32)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2439
29.0 IPS |
|
|
Face Detection (I8)
|
89% |
3202
38.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7856
60.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7950
61.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
13638
105.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15943
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15973
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
12640
16.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4017
143.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4044
144.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5252
187.6 IPS |
|
|
Text Classification (F32)
|
100% |
1561
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1721
2.47 KIPS |
|
|
Text Classification (I8)
|
98% |
536
770.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2089
38.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2052
37.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2867
52.8 IPS |
