Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
2003
Single Precision Score
1004
Half Precision Score
1637
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tntoak |
| Upload Date | January 01 2026 08:55 AM |
| Views | 6 |
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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (Q)
|
100% |
681
126.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6664
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
10938
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5938
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
87% |
702
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (HP)
|
0% |
0
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
2098
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3868
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4591
35.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3385
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11381
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16556
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10029
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2150
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.3 IPS |
|
|
Text Classification (HP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
503
673.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
70% |
624
11.7 IPS |
