ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
1662
Single Precision Score
1001
Half Precision Score
4172
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:59 AM |
| Views | 3 |
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% |
1132
210.5 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
99% |
3436
640.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3596
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1832
2.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
8610
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
86% |
3170
254.8 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5339
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2906
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1397
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6895
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5549
7.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4703
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
9811
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4086
151.3 IPS |
|
|
Text Classification (SP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2174
43.7 IPS |
