Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
9354
Single Precision Score
9419
Half Precision Score
21001
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JanOlsan |
| Upload Date | August 16 2024 12:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5386
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5258
977.8 IPS |
|
|
Image Classification (Q)
|
100% |
10843
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5387
87.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5341
86.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10892
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16908
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16984
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
66549
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
5818
461.5 IPS |
|
|
Object Detection (HP)
|
100% |
5870
465.6 IPS |
|
|
Object Detection (Q)
|
88% |
13037
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
13615
161.8 IPS |
|
|
Face Detection (HP)
|
100% |
14577
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
34822
413.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16477
126.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
16172
124.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
44235
350.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43744
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43973
56.5 IPS |
|
|
Style Transfer (Q)
|
98% |
157758
203.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8377
309.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8494
313.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24793
918.2 IPS |
|
|
Text Classification (SP)
|
100% |
4093
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
92% |
4829
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5343
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5479
94.4 IPS |
|
|
Machine Translation (Q)
|
85% |
5600
97.9 IPS |
