Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
5034
Single Precision Score
1831
Half Precision Score
8782
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E EDGE TI WIFI (MS-7E59) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3991
742.1 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.8 IPS |
|
|
Image Classification (Q)
|
99% |
8390
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4042
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11598
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8670
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
38659
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
4010
318.1 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
9316
748.7 IPS |
|
|
Face Detection (SP)
|
100% |
7395
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
11320
135.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11477
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2800
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20037
159.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24800
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21125
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37543
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2650
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2381
87.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4033
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4350
87.4 IPS |
