ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
2499
Single Precision Score
1368
Half Precision Score
5124
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-14100 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (Q)
|
99% |
4404
821.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4715
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2780
3.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
11442
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.6 IPS |
|
|
Object Detection (Q)
|
86% |
4077
327.6 IPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
5983
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4998
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1931
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9558
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8282
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7043
9.05 IPS |
|
|
Style Transfer (Q)
|
98% |
11025
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1823
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5069
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1771
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2277
45.8 IPS |
