HUAWEI MCLF-XX
Geekbench AI Score
2273
Single Precision Score
1079
Half Precision Score
4522
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 18 2025 01:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HUAWEI MCLF-XX |
| Motherboard | HUAWEI MCLF-XX-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
99% |
3605
672.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2164
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3413
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2233
2.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
12617
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
3977
319.6 IPS |
|
|
Face Detection (SP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6599
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4444
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1536
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9689
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8179
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6399
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
14492
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3360
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.5 IPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1947
39.1 IPS |
