Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
49562
Single Precision Score
76187
Half Precision Score
36140
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | shivamx96 |
| Upload Date | August 30 2025 08:09 PM |
| Views | 10 |
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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17620
3.28 KIPS |
|
|
Image Classification (HP)
|
100% |
23354
4.34 KIPS |
|
|
Image Classification (Q)
|
100% |
15152
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39915
647.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
52634
853.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
36717
597.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
404062
471.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1028799
1.20 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321632
376.7 IPS |
|
|
Object Detection (SP)
|
100% |
26158
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
35015
2.78 KIPS |
|
|
Object Detection (Q)
|
85% |
21011
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
77552
921.5 IPS |
|
|
Face Detection (HP)
|
100% |
107039
1.27 KIPS |
|
|
Face Detection (Q)
|
97% |
60722
724.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
106314
819.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
193572
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76363
611.6 IPS |
|
|
Style Transfer (SP)
|
100% |
596814
767.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1777201
2.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
499122
643.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75067
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
105350
3.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55016
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7800
134.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7748
133.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3268
61.3 IPS |
