Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
7284
Single Precision Score
2918
Half Precision Score
13128
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5316
988.5 IPS |
|
|
Image Classification (HP)
|
100% |
972
180.8 IPS |
|
|
Image Classification (Q)
|
99% |
13080
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19101
310.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24539
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14772
17.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
72228
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
5376
426.4 IPS |
|
|
Object Detection (HP)
|
100% |
1170
92.8 IPS |
|
|
Object Detection (Q)
|
86% |
15601
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
10093
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
15659
186.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17376
133.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4140
31.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
30917
246.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39235
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33934
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43057
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4550
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2861
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1919
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4721
94.9 IPS |
