HUAWEI CREFG-XX
Geekbench AI Score
3209
Single Precision Score
3283
Half Precision Score
2028
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 01:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
1468
272.9 IPS |
|
|
Image Classification (Q)
|
100% |
1205
224.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1643
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13179
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13468
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
6603
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
98% |
1420
113.0 IPS |
|
|
Object Detection (Q)
|
86% |
1265
101.7 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3797
45.1 IPS |
|
|
Face Detection (Q)
|
97% |
2331
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6315
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7021
54.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4450
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27484
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35091
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17210
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3511
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1553
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.3 IPS |
|
|
Text Classification (Q)
|
97% |
508
680.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
70% |
507
9.50 IPS |
