Micro-Star International Co., Ltd. Thin GF63 12VE
Geekbench ML Score
2134
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 04:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin GF63 12VE |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1253
234.6 IPS |
|
|
Image Classification (F16)
|
100% |
1068
199.9 IPS |
|
|
Image Classification (I8)
|
99% |
2031
380.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1722
28.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3031
3.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
3038
3.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
11780
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1134
84.7 IPS |
|
|
Object Detection (F16)
|
100% |
1135
84.8 IPS |
|
|
Object Detection (I8)
|
62% |
1068
79.8 IPS |
|
|
Face Detection (F32)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (F16)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (I8)
|
89% |
2972
35.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3856
29.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3961
30.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
8473
65.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7657
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
7395
9.73 IPS |
|
|
Style Transfer (I8)
|
98% |
12981
17.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1851
66.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1680
60.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3525
125.9 IPS |
|
|
Text Classification (F32)
|
100% |
1021
1.47 KIPS |
|
|
Text Classification (F16)
|
100% |
1056
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
389
558.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1255
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1280
23.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1792
33.0 IPS |
