Micro-Star International Co., Ltd. MS-7B85
Geekbench AI Score
19407
Single Precision Score
32483
Half Precision Score
15773
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B85 |
| Motherboard | Micro-Star International Co., Ltd. B450 GAMING PRO CARBON MAX WIFI (MS-7B85) |
| 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 | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8168
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
12719
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
7554
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12049
195.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15680
254.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11335
184.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
118917
138.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
355897
415.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
111795
131.0 IPS |
|
|
Object Detection (SP)
|
100% |
9976
791.3 IPS |
|
|
Object Detection (HP)
|
100% |
15463
1.23 KIPS |
|
|
Object Detection (Q)
|
83% |
8800
711.0 IPS |
|
|
Face Detection (SP)
|
100% |
24842
295.2 IPS |
|
|
Face Detection (HP)
|
100% |
35801
425.4 IPS |
|
|
Face Detection (Q)
|
97% |
22057
263.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52481
404.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103715
799.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
43177
344.6 IPS |
|
|
Style Transfer (SP)
|
100% |
167793
215.7 IPS |
|
|
Style Transfer (HP)
|
100% |
521971
671.0 IPS |
|
|
Style Transfer (Q)
|
98% |
146374
188.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30066
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50339
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23695
877.4 IPS |
|
|
Text Classification (SP)
|
100% |
2821
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1757
32.9 IPS |
