Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
46016
Single Precision Score
68747
Half Precision Score
33967
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 05:40 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
16756
3.12 KIPS |
|
|
Image Classification (HP)
|
100% |
22394
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
14538
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29957
485.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
37060
600.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
28991
471.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
392342
457.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
894322
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
315336
369.4 IPS |
|
|
Object Detection (SP)
|
100% |
24897
1.97 KIPS |
|
|
Object Detection (HP)
|
100% |
33096
2.63 KIPS |
|
|
Object Detection (Q)
|
85% |
20549
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
68572
814.8 IPS |
|
|
Face Detection (HP)
|
100% |
90578
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
54680
652.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
105348
811.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
192133
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73825
591.3 IPS |
|
|
Style Transfer (SP)
|
100% |
599043
770.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1696247
2.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
497448
641.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75729
2.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102335
3.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53481
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5066
6.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2425
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6281
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6273
108.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2875
53.9 IPS |
