Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2609
Single Precision Score
2634
Half Precision Score
2624
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | altayhamilton |
| Upload Date | August 24 2025 06:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X Eight-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1653
307.4 IPS |
|
|
Image Classification (HP)
|
100% |
1723
320.3 IPS |
|
|
Image Classification (Q)
|
100% |
1743
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3596
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
3649
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.3 IPS |
|
|
Object Detection (HP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (Q)
|
87% |
1635
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
5386
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4546
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4536
34.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
4526
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10145
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10176
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10488
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2186
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1692
2.26 KIPS |
|
|
Text Classification (Q)
|
91% |
513
689.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2376
40.9 IPS |
