Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
36904
Single Precision Score
61500
Half Precision Score
28179
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:38 PM |
| Views | 3 |
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. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14910
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
22054
4.10 KIPS |
|
|
Image Classification (Q)
|
100% |
13203
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24574
398.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
33100
536.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22674
368.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
237446
277.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
740381
863.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
204634
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
19950
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
30850
2.45 KIPS |
|
|
Object Detection (Q)
|
86% |
17243
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
54874
652.0 IPS |
|
|
Face Detection (HP)
|
100% |
78371
931.2 IPS |
|
|
Face Detection (Q)
|
97% |
45206
539.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
92745
714.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
174480
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68361
545.9 IPS |
|
|
Style Transfer (SP)
|
100% |
355995
457.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1160679
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
306262
394.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58286
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90353
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44250
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5080
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2441
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6321
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6373
109.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2924
54.8 IPS |
