Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
10156
Single Precision Score
3363
Half Precision Score
13925
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | czegocitrzeba |
| Upload Date | June 28 2025 05:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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 | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8582
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
1171
217.7 IPS |
|
|
Image Classification (Q)
|
99% |
15157
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3955
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5241
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17430
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13146
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
57734
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
8609
682.9 IPS |
|
|
Object Detection (HP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (Q)
|
86% |
15681
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
21211
252.0 IPS |
|
|
Face Detection (HP)
|
100% |
3497
41.5 IPS |
|
|
Face Detection (Q)
|
97% |
16266
193.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23066
177.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4827
37.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
38747
309.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38799
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28423
36.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46742
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7018
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2611
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5923
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
7065
142.0 IPS |
