ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
1348
Single Precision Score
1423
Half Precision Score
949
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 10:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS D701MER_S501SER |
| Motherboard | ASUSTeK COMPUTER INC. D701MER |
| CPU Information | |
|---|---|
| Name | Intel Core i3-14100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (Q)
|
100% |
539
100.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
649
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4393
5.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
2741
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
98% |
585
46.6 IPS |
|
|
Object Detection (Q)
|
86% |
567
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
1018
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2478
19.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2721
21.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1893
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7906
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11037
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
6008
7.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
778
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.2 IPS |
|
|
Text Classification (HP)
|
100% |
441
589.0 IPS |
|
|
Text Classification (Q)
|
97% |
359
480.6 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
70% |
339
6.37 IPS |
