HUAWEI MCLF-XX
Geekbench AI Score
2542
Single Precision Score
3551
Half Precision Score
5622
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 18 2025 01:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1486
276.4 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.7 IPS |
|
|
Image Classification (Q)
|
99% |
3592
669.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3636
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4994
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4666
5.44 IPS |
|
|
Pose Estimation (HP)
|
99% |
3350
3.91 IPS |
|
|
Pose Estimation (Q)
|
97% |
14338
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
2093
166.0 IPS |
|
|
Object Detection (Q)
|
90% |
3417
273.2 IPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
10142
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4922
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8297
64.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11276
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12094
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19494
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32641
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3361
124.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6684
247.5 IPS |
|
|
Text Classification (SP)
|
71% |
989
1.43 KIPS |
|
|
Text Classification (HP)
|
71% |
1145
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1137
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1274
22.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1267
21.8 IPS |
