ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
2341
Single Precision Score
1330
Half Precision Score
5021
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 07:24 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% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
4266
795.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4441
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3492
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2961
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
10925
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
3923
315.3 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
1241
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
6275
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1930
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8952
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8238
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6980
8.97 IPS |
|
|
Style Transfer (Q)
|
98% |
11133
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2408
48.4 IPS |
