Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
51758
Single Precision Score
78673
Half Precision Score
37569
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 03:25 PM |
| Views | 18 |
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% |
18956
3.53 KIPS |
|
|
Image Classification (HP)
|
100% |
24490
4.55 KIPS |
|
|
Image Classification (Q)
|
100% |
16253
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40908
663.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
53679
870.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
37972
617.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
417602
487.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
989745
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
334341
391.6 IPS |
|
|
Object Detection (SP)
|
100% |
26760
2.12 KIPS |
|
|
Object Detection (HP)
|
100% |
35457
2.81 KIPS |
|
|
Object Detection (Q)
|
85% |
21598
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
79972
950.2 IPS |
|
|
Face Detection (HP)
|
100% |
110124
1.31 KIPS |
|
|
Face Detection (Q)
|
97% |
62424
744.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
112569
867.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
205889
1.59 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78830
631.4 IPS |
|
|
Style Transfer (SP)
|
100% |
639336
821.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1888287
2.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
530301
683.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80005
2.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
107480
3.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56802
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4428
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5351
7.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2569
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7809
134.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7997
137.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3301
61.9 IPS |
