Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
11483
Single Precision Score
20178
Half Precision Score
8117
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 05:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.95 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5024
934.3 IPS |
|
|
Image Classification (HP)
|
100% |
8714
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
3938
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8514
138.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12677
205.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6906
112.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
48355
56.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
140788
164.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
41706
48.9 IPS |
|
|
Object Detection (SP)
|
100% |
5863
465.1 IPS |
|
|
Object Detection (HP)
|
100% |
10450
828.9 IPS |
|
|
Object Detection (Q)
|
84% |
4672
376.8 IPS |
|
|
Face Detection (SP)
|
100% |
14188
168.6 IPS |
|
|
Face Detection (HP)
|
100% |
23803
282.8 IPS |
|
|
Face Detection (Q)
|
97% |
11569
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27300
210.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55087
424.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19809
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88250
113.4 IPS |
|
|
Style Transfer (HP)
|
100% |
215177
276.6 IPS |
|
|
Style Transfer (Q)
|
98% |
73179
94.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16086
594.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27964
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10250
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1361
25.5 IPS |
