ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
2483
Single Precision Score
1371
Half Precision Score
5121
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 10:29 AM |
| Views | 5 |
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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (Q)
|
99% |
4446
829.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4658
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3560
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2842
3.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
12891
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (HP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (Q)
|
86% |
3304
265.6 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
6305
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5006
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9740
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8839
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7023
9.03 IPS |
|
|
Style Transfer (Q)
|
98% |
11403
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2408
48.4 IPS |
