Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
3504
Single Precision Score
850
Half Precision Score
5031
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | December 26 2024 09:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1934
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.1 IPS |
|
|
Image Classification (Q)
|
99% |
5310
990.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
2491
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
23844
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
88% |
2175
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
5190
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (Q)
|
97% |
6940
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6575
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
76% |
12915
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13133
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11279
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31016
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2358
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
428
573.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2914
65.0 IPS |
