Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
1998
Single Precision Score
2188
Half Precision Score
1637
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | linuxid10t |
| Upload Date | June 05 2025 01:42 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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 | High performance |
| 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% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
100% |
665
123.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
10946
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
6024
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
87% |
694
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2245
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
2083
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3837
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4566
35.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3364
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11360
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16539
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10028
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2124
78.7 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
521
698.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.7 IPS |
|
|
Machine Translation (Q)
|
70% |
627
11.8 IPS |
