Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
39544
Single Precision Score
55190
Half Precision Score
29597
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 07:38 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 9950X |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13695
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
18721
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
11311
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27305
442.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35723
579.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
24925
405.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
305201
356.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
555915
648.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
265228
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
19778
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
26036
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
16416
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
58790
698.6 IPS |
|
|
Face Detection (HP)
|
100% |
75596
898.3 IPS |
|
|
Face Detection (Q)
|
97% |
48723
580.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
98695
760.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
156180
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71244
569.8 IPS |
|
|
Style Transfer (SP)
|
100% |
560700
720.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1105598
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
474842
612.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57905
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78737
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44779
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4363
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2127
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
6237
107.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6041
104.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2677
50.2 IPS |
