Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
6042
Single Precision Score
2724
Half Precision Score
8412
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 03:42 AM |
| 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 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2579
479.6 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (Q)
|
99% |
6590
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2635
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4768
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27119
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15985
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75765
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (Q)
|
88% |
3181
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
7087
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13142
101.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4026
31.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13568
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
46019
59.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36370
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
43441
56.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3608
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6484
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2092
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
60% |
4137
92.3 IPS |
