Micro-Star International Co., Ltd. MS-7D29
Geekbench AI Score
5278
Single Precision Score
5270
Half Precision Score
12266
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | octra |
| Upload Date | August 16 2024 04:18 PM |
| Views | 8 |
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 | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3289
611.6 IPS |
|
|
Image Classification (HP)
|
100% |
3295
612.7 IPS |
|
|
Image Classification (Q)
|
100% |
7532
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3608
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6130
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6143
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6140
7.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
23164
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
3137
248.9 IPS |
|
|
Object Detection (HP)
|
100% |
3146
249.5 IPS |
|
|
Object Detection (Q)
|
88% |
7759
622.0 IPS |
|
|
Face Detection (SP)
|
100% |
9285
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
9257
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
18955
225.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8348
64.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
20570
163.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18419
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18376
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
63779
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12247
453.6 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4877
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4661
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (Q)
|
85% |
6260
109.5 IPS |
