HUAWEI CREFG-XX
Geekbench AI Score
4347
Single Precision Score
4073
Half Precision Score
10083
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 01:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI CREFG-XX |
| Motherboard | HUAWEI CREFG-XX-PCB |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (HP)
|
100% |
2873
534.3 IPS |
|
|
Image Classification (Q)
|
100% |
6655
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3633
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6744
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5061
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
17083
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.3 IPS |
|
|
Object Detection (Q)
|
88% |
6436
515.9 IPS |
|
|
Face Detection (SP)
|
100% |
6779
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
14752
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5875
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6194
47.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
16167
125.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14565
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14390
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48661
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2995
110.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3057
112.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10283
380.8 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
4716
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4010
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3913
67.4 IPS |
