Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
7905
Single Precision Score
2750
Half Precision Score
12690
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 09:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
5370
998.7 IPS |
|
|
Image Classification (HP)
|
100% |
852
158.5 IPS |
|
|
Image Classification (Q)
|
99% |
11934
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5051
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25433
29.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15120
17.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
81678
95.8 IPS |
|
|
Object Detection (SP)
|
100% |
5414
429.4 IPS |
|
|
Object Detection (HP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
86% |
13630
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
9798
116.4 IPS |
|
|
Face Detection (HP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
15232
181.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20512
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4211
32.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
29873
238.4 IPS |
|
|
Style Transfer (SP)
|
100% |
47231
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36409
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51634
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6269
232.1 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2053
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5340
107.3 IPS |
