Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
5400
Single Precision Score
2391
Half Precision Score
6534
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2420
450.1 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.7 IPS |
|
|
Image Classification (Q)
|
99% |
6141
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3711
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24988
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15100
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66416
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
88% |
3003
240.7 IPS |
|
|
Face Detection (SP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
5866
69.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11965
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3376
26.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12303
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36248
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31770
40.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40626
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3513
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5921
219.2 IPS |
|
|
Text Classification (SP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
558
747.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3225
71.9 IPS |
