HUAWEI PUC-WXXXX
Geekbench AI Score
3988
Single Precision Score
3931
Half Precision Score
10253
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 08:12 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HUAWEI PUC-WXXXX |
| Motherboard | HUAWEI PUC-WXXXX-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2748
511.0 IPS |
|
|
Image Classification (HP)
|
100% |
2773
515.6 IPS |
|
|
Image Classification (Q)
|
100% |
6377
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3115
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5369
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5535
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
20451
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (HP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (Q)
|
88% |
6369
510.5 IPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4334
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
15723
186.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7225
55.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
6941
53.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
17529
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16417
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15654
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
57618
74.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3346
123.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11453
424.2 IPS |
|
|
Text Classification (SP)
|
100% |
1345
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
3544
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (Q)
|
85% |
4468
78.2 IPS |
