HUAWEI CREFG-XX
Geekbench AI Score
3475
Single Precision Score
1335
Half Precision Score
6549
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 01:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2905
540.2 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
5546
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8246
134.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5804
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
16929
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2445
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
4911
394.7 IPS |
|
|
Face Detection (SP)
|
100% |
6513
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
8452
100.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7015
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1834
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12206
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12394
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8164
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19923
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4593
170.1 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
658
877.9 IPS |
|
|
Text Classification (Q)
|
97% |
1437
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2815
56.6 IPS |
