ASUSTeK COMPUTER INC. ASUS D701MER_S501SER
Geekbench AI Score
6420
Single Precision Score
6701
Half Precision Score
14703
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 01:53 AM |
| Views | 2 |
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% |
4178
776.9 IPS |
|
|
Image Classification (HP)
|
100% |
4162
774.1 IPS |
|
|
Image Classification (Q)
|
100% |
9191
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5401
87.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5325
86.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10285
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7759
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
7776
9.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
28898
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.5 IPS |
|
|
Object Detection (HP)
|
100% |
3924
311.3 IPS |
|
|
Object Detection (Q)
|
88% |
9435
756.3 IPS |
|
|
Face Detection (SP)
|
100% |
7443
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
11293
134.2 IPS |
|
|
Face Detection (Q)
|
100% |
22330
265.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10058
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10121
78.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
25897
201.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23734
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23812
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
80546
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4966
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15167
561.7 IPS |
|
|
Text Classification (SP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
92% |
5052
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5380
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5136
88.5 IPS |
