Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
52286
Single Precision Score
78183
Half Precision Score
38595
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kryptonite5 |
| Upload Date | April 08 2025 04:43 PM |
| Views | 31 |
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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17873
3.32 KIPS |
|
|
Image Classification (HP)
|
100% |
22642
4.21 KIPS |
|
|
Image Classification (Q)
|
100% |
15436
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42517
689.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
55651
902.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
39258
638.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
445541
519.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1052372
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
346390
405.7 IPS |
|
|
Object Detection (SP)
|
100% |
27415
2.17 KIPS |
|
|
Object Detection (HP)
|
100% |
36312
2.88 KIPS |
|
|
Object Detection (Q)
|
85% |
22786
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
85324
1.01 KIPS |
|
|
Face Detection (HP)
|
100% |
116107
1.38 KIPS |
|
|
Face Detection (Q)
|
97% |
67866
809.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
121134
933.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
206402
1.59 KIPS |
|
|
Depth Estimation (Q)
|
77% |
86239
690.7 IPS |
|
|
Style Transfer (SP)
|
100% |
678945
872.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1928708
2.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
571254
736.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77627
2.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101813
3.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55686
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2405
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
8021
138.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8221
141.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3425
64.2 IPS |
