Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
52025
Single Precision Score
78687
Half Precision Score
38040
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 07 2025 11:00 AM |
| Views | 6 |
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 9950X3D |
| 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% |
18472
3.44 KIPS |
|
|
Image Classification (HP)
|
100% |
24061
4.47 KIPS |
|
|
Image Classification (Q)
|
100% |
16113
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40540
657.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
52913
857.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
37272
606.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
426086
497.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
1072401
1.25 KIPS |
|
|
Pose Estimation (Q)
|
96% |
342456
401.1 IPS |
|
|
Object Detection (SP)
|
100% |
27272
2.16 KIPS |
|
|
Object Detection (HP)
|
100% |
35617
2.83 KIPS |
|
|
Object Detection (Q)
|
85% |
22127
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
81968
974.0 IPS |
|
|
Face Detection (HP)
|
100% |
110862
1.32 KIPS |
|
|
Face Detection (Q)
|
97% |
63798
760.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
112653
867.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
203648
1.57 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80324
643.4 IPS |
|
|
Style Transfer (SP)
|
100% |
640794
823.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1873642
2.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
535212
690.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81173
3.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
107420
3.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57747
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4393
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5193
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2618
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
7911
136.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7931
136.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3363
63.1 IPS |
