Micro-Star International Co., Ltd. MS-7D29
Geekbench AI Score
5284
Single Precision Score
5254
Half Precision Score
12189
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | octra |
| Upload Date | August 17 2024 05:53 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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 | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3285
610.9 IPS |
|
|
Image Classification (HP)
|
100% |
3290
611.9 IPS |
|
|
Image Classification (Q)
|
100% |
7559
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3587
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6209
100.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6110
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6236
7.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
23301
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (Q)
|
88% |
7426
595.3 IPS |
|
|
Face Detection (SP)
|
100% |
9312
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
9270
110.1 IPS |
|
|
Face Detection (Q)
|
100% |
19035
226.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8367
64.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
19877
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18540
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17644
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
63746
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3911
144.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12296
455.4 IPS |
|
|
Text Classification (SP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4834
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4544
78.3 IPS |
|
|
Machine Translation (Q)
|
85% |
6220
108.8 IPS |
