Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
35157
Single Precision Score
48078
Half Precision Score
27089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | smgoller |
| Upload Date | June 17 2025 06:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13186
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
16102
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
11643
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18322
297.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20515
332.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17616
286.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
348143
406.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
693012
808.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
284086
332.8 IPS |
|
|
Object Detection (SP)
|
100% |
16663
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
20064
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
14354
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
43597
518.0 IPS |
|
|
Face Detection (HP)
|
100% |
51633
613.5 IPS |
|
|
Face Detection (Q)
|
97% |
37130
442.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
92946
716.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
153615
1.18 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68008
544.7 IPS |
|
|
Style Transfer (SP)
|
100% |
505648
650.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1172417
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
435250
561.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61092
2.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78693
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44904
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4694
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4223
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4183
72.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2344
44.0 IPS |
