Micro-Star International Co., Ltd. MS-7D93
Geekbench AI Score
5290
Single Precision Score
5311
Half Precision Score
11482
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mercury81 |
| Upload Date | December 26 2024 06:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D93 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PRO WIFI (MS-7D93) |
| Power Plan | Ausbalanciert |
| 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% |
3205
596.1 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (Q)
|
100% |
7122
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3935
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5238
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6424
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
6384
7.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
23129
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
3019
239.4 IPS |
|
|
Object Detection (HP)
|
100% |
3046
241.6 IPS |
|
|
Object Detection (Q)
|
88% |
7506
601.7 IPS |
|
|
Face Detection (SP)
|
100% |
8455
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
8560
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
17873
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8266
63.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
20124
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19275
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18807
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
64511
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12462
461.5 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
4917
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4311
74.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4328
74.6 IPS |
