Micro-Star International Co., Ltd. MAG H610 Codex 5 (MS-B930)
Geekbench AI Score
113
Single Precision Score
113
Half Precision Score
83
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 18 2024 04:47 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Micro-Star International Co., Ltd. MAG H610 Codex 5 (MS-B930) |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G DDR4 (MS-7D46) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
75
13.9 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.8 IPS |
|
|
Image Classification (Q)
|
97% |
51
9.48 IPS |
|
|
Image Segmentation (SP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
70
1.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
85
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
62
4.92 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.96 IPS |
|
|
Object Detection (Q)
|
88% |
48
3.89 IPS |
|
|
Face Detection (SP)
|
100% |
203
2.42 IPS |
|
|
Face Detection (HP)
|
100% |
203
2.41 IPS |
|
|
Face Detection (Q)
|
97% |
157
1.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
146
1.12 IPS |
|
|
Depth Estimation (HP)
|
100% |
146
1.12 IPS |
|
|
Depth Estimation (Q)
|
75% |
113
0.91 IPS |
|
|
Style Transfer (SP)
|
100% |
302
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
302
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
261
0.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
68
2.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54
2.00 IPS |
|
|
Text Classification (SP)
|
100% |
92
122.9 IPS |
|
|
Text Classification (HP)
|
100% |
92
123.5 IPS |
|
|
Text Classification (Q)
|
91% |
59
79.1 IPS |
|
|
Machine Translation (SP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (Q)
|
58% |
75
1.79 IPS |
