Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
35947
Single Precision Score
58920
Half Precision Score
26096
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 06:32 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 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% |
14046
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
20529
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
12304
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25133
407.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34827
564.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23336
379.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
235677
275.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
698479
815.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
201725
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
19523
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
29974
2.38 KIPS |
|
|
Object Detection (Q)
|
86% |
16505
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
54427
646.7 IPS |
|
|
Face Detection (HP)
|
100% |
78359
931.1 IPS |
|
|
Face Detection (Q)
|
97% |
44374
529.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
90150
694.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
159567
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64524
515.3 IPS |
|
|
Style Transfer (SP)
|
100% |
347717
447.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1108055
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
300776
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55483
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83874
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41239
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4529
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2314
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6342
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6401
110.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1865
35.0 IPS |
