Micro-Star International Co., Ltd. MS-7D29
Geekbench AI Score
3970
Single Precision Score
1144
Half Precision Score
6168
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | octra |
| Upload Date | August 16 2024 03:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | Micro-Star International Co., Ltd. MS-7D29 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690I UNIFY (MS-7D29) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2400
446.4 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
97% |
4393
819.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
3812
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4981
5.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
21592
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
88% |
2576
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
4934
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.17 IPS |
|
|
Face Detection (Q)
|
97% |
6838
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7485
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
10667
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15083
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12467
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29240
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3110
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2515
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5455
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2347
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3138
70.0 IPS |
