Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
42600
Single Precision Score
71406
Half Precision Score
32033
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | WallyS |
| Upload Date | November 18 2025 12:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16712
3.11 KIPS |
|
|
Image Classification (HP)
|
100% |
24698
4.59 KIPS |
|
|
Image Classification (Q)
|
100% |
14528
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33268
539.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
48028
778.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29948
487.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
270387
315.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
850868
992.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
227872
266.9 IPS |
|
|
Object Detection (SP)
|
100% |
22335
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
34251
2.72 KIPS |
|
|
Object Detection (Q)
|
86% |
19258
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
66988
796.0 IPS |
|
|
Face Detection (HP)
|
100% |
97797
1.16 KIPS |
|
|
Face Detection (Q)
|
97% |
53543
638.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
103474
797.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
193683
1.49 KIPS |
|
|
Depth Estimation (Q)
|
78% |
76281
609.1 IPS |
|
|
Style Transfer (SP)
|
100% |
400621
515.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1296239
1.67 KIPS |
|
|
Style Transfer (Q)
|
98% |
344068
443.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62830
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96730
3.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47583
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5111
6.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2627
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
8107
139.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8213
141.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3392
63.6 IPS |
