Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
50995
Single Precision Score
77154
Half Precision Score
36907
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 03:23 PM |
| 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. MPG X870E EDGE TI WIFI (MS-7E59) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18679
3.47 KIPS |
|
|
Image Classification (HP)
|
100% |
23806
4.43 KIPS |
|
|
Image Classification (Q)
|
100% |
15861
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40802
661.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
53336
864.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
37651
612.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
408841
477.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
970633
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
331434
388.2 IPS |
|
|
Object Detection (SP)
|
100% |
26061
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
34665
2.75 KIPS |
|
|
Object Detection (Q)
|
85% |
21077
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
79714
947.2 IPS |
|
|
Face Detection (HP)
|
100% |
108576
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
61289
730.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
110566
851.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
203440
1.57 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77265
618.9 IPS |
|
|
Style Transfer (SP)
|
100% |
632058
812.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1877350
2.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
524459
676.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79376
2.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
105472
3.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54964
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5082
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2544
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
7693
132.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7872
135.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3237
60.7 IPS |
