Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
5568
Single Precision Score
2439
Half Precision Score
6821
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 08 2024 11:36 PM |
| Views | 5 |
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-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.8 IPS |
|
|
Image Classification (Q)
|
99% |
6221
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3729
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26206
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15627
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
70455
82.6 IPS |
|
|
Object Detection (SP)
|
100% |
3076
244.0 IPS |
|
|
Object Detection (HP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (Q)
|
88% |
3028
242.7 IPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
6507
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12340
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3542
27.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12777
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37782
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32866
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
44604
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3499
129.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6008
222.5 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
569
761.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3478
77.6 IPS |
