ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
2480
Single Precision Score
1340
Half Precision Score
5180
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:09 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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (Q)
|
99% |
4434
827.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4652
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
12851
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
86% |
4024
323.4 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
6290
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4747
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9546
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8338
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6963
8.95 IPS |
|
|
Style Transfer (Q)
|
98% |
11119
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4993
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2348
47.2 IPS |
