Micro-Star International Co., Ltd. MS-7E71
Geekbench AI Score
5422
Single Precision Score
5370
Half Precision Score
13715
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | January 27 2026 06:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500X3D 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E71 |
| Motherboard | Micro-Star International Co., Ltd. PRO B850M-VC WIFI6E (MS-7E71) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3219
598.7 IPS |
|
|
Image Classification (HP)
|
100% |
3214
597.7 IPS |
|
|
Image Classification (Q)
|
100% |
9008
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3681
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9509
154.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5870
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (Q)
|
98% |
22936
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3334
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
3331
264.2 IPS |
|
|
Object Detection (Q)
|
88% |
9210
738.3 IPS |
|
|
Face Detection (SP)
|
100% |
10618
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
10488
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
21705
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8251
63.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
22624
176.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16181
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16082
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
56136
72.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12226
452.8 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
4923
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5972
102.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5834
100.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7847
135.2 IPS |
