Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13284
Single Precision Score
13601
Half Precision Score
33134
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 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. 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% |
6876
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
6824
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
17700
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8515
138.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8996
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24286
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28379
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
28131
32.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
116362
136.2 IPS |
|
|
Object Detection (SP)
|
100% |
7607
603.4 IPS |
|
|
Object Detection (HP)
|
100% |
8183
649.1 IPS |
|
|
Object Detection (Q)
|
88% |
20132
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
16889
200.7 IPS |
|
|
Face Detection (HP)
|
100% |
18489
219.7 IPS |
|
|
Face Detection (Q)
|
100% |
52684
626.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20893
161.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22181
170.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
59363
462.0 IPS |
|
|
Style Transfer (SP)
|
100% |
74009
95.1 IPS |
|
|
Style Transfer (HP)
|
100% |
75038
96.5 IPS |
|
|
Style Transfer (Q)
|
98% |
266617
343.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13906
513.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13922
514.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36671
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4451
5.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
8137
140.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8042
138.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9215
158.7 IPS |
