ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
6692
Single Precision Score
6657
Half Precision Score
14659
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 05:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS D701MER_S501SER |
| Motherboard | ASUSTeK COMPUTER INC. D701MER |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4141
770.2 IPS |
|
|
Image Classification (HP)
|
100% |
4023
748.2 IPS |
|
|
Image Classification (Q)
|
100% |
9029
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5309
86.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5353
86.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10243
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7949
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7945
9.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
28916
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3909
310.1 IPS |
|
|
Object Detection (HP)
|
100% |
3912
310.3 IPS |
|
|
Object Detection (Q)
|
88% |
9178
735.7 IPS |
|
|
Face Detection (SP)
|
100% |
11258
133.8 IPS |
|
|
Face Detection (HP)
|
100% |
11191
133.0 IPS |
|
|
Face Detection (Q)
|
100% |
22510
267.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10067
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10121
78.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
25191
195.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23529
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23432
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
80099
103.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4966
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5006
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15039
557.0 IPS |
|
|
Text Classification (SP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
92% |
5390
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5202
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5072
87.4 IPS |
