HUAWEI MCLF-XX
Geekbench AI Score
2747
Single Precision Score
2702
Half Precision Score
6780
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 18 2025 01:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1798
334.3 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.5 IPS |
|
|
Image Classification (Q)
|
100% |
4230
786.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3768
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
11507
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (Q)
|
88% |
4275
342.7 IPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4709
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
10250
121.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3467
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4549
35.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11401
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7982
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9451
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34300
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6782
251.2 IPS |
|
|
Text Classification (SP)
|
100% |
2034
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2027
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3770
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2555
44.0 IPS |
