Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
52353
Single Precision Score
79583
Half Precision Score
38018
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 11:47 AM |
| Views | 21 |
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% |
19071
3.55 KIPS |
|
|
Image Classification (HP)
|
100% |
24335
4.53 KIPS |
|
|
Image Classification (Q)
|
100% |
16215
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41194
667.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
53874
873.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
38252
622.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
424396
495.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004242
1.17 KIPS |
|
|
Pose Estimation (Q)
|
96% |
339744
398.0 IPS |
|
|
Object Detection (SP)
|
100% |
26991
2.14 KIPS |
|
|
Object Detection (HP)
|
100% |
36240
2.87 KIPS |
|
|
Object Detection (Q)
|
85% |
22278
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
80807
960.2 IPS |
|
|
Face Detection (HP)
|
100% |
111002
1.32 KIPS |
|
|
Face Detection (Q)
|
97% |
63063
752.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
113576
875.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
207517
1.60 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80130
641.8 IPS |
|
|
Style Transfer (SP)
|
100% |
640256
823.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1927544
2.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
532617
686.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82398
3.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110844
4.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58401
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4475
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5367
7.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2577
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7933
136.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8087
139.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3318
62.2 IPS |
