Micro-Star International Co., Ltd. MS-7B12
Geekbench AI Score
3072
Single Precision Score
1263
Half Precision Score
3767
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vysledky |
| Upload Date | April 08 2025 10:46 AM |
| Views | 5 |
| Notes | Full 8.4.2025 AI |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B12 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z390 ACE (MS-7B12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2766
514.5 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
96% |
4626
863.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3610
4.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
9974
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
58% |
2451
267.8 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
6495
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5940
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1636
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8657
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11154
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8280
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
12845
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2855
105.8 IPS |
|
|
Text Classification (SP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
521
697.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2235
43.2 IPS |
