Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
5215
Single Precision Score
5240
Half Precision Score
12251
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | August 29 2024 10:30 PM |
| Views | 3 |
| Notes | 5.2/4.1/4.6 @ 1.100v |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3646
678.1 IPS |
|
|
Image Classification (HP)
|
100% |
3623
673.7 IPS |
|
|
Image Classification (Q)
|
100% |
7580
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4112
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4106
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7181
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6721
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6650
7.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
24934
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
3451
273.7 IPS |
|
|
Object Detection (Q)
|
88% |
8207
657.9 IPS |
|
|
Face Detection (SP)
|
100% |
5643
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
5624
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
19740
234.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8800
67.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
8703
67.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
13668
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20326
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19504
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
66011
85.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4195
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4302
158.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13436
497.6 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
4607
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4729
81.5 IPS |
|
|
Machine Translation (Q)
|
85% |
6205
108.6 IPS |
