ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
2097
Single Precision Score
3321
Half Precision Score
4846
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 11:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| 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% |
1291
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
2172
403.9 IPS |
|
|
Image Classification (Q)
|
99% |
3185
594.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3654
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3198
3.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
2702
3.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
9222
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1211
96.1 IPS |
|
|
Object Detection (HP)
|
99% |
2029
160.9 IPS |
|
|
Object Detection (Q)
|
90% |
3215
257.0 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6397
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
8188
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3981
30.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7023
54.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
8966
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8994
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13618
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22757
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2759
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4821
178.5 IPS |
|
|
Text Classification (SP)
|
71% |
1034
1.50 KIPS |
|
|
Text Classification (HP)
|
71% |
1291
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
1362
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1876
32.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1888
32.5 IPS |
