Micro-Star International Co., Ltd. MS-7B17
Geekbench AI Score
2513
Single Precision Score
1143
Half Precision Score
4078
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z390 GAMING EDGE AC (MS-7B17) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.1 IPS |
|
|
Image Classification (Q)
|
96% |
3140
586.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
4450
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4010
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3814
4.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
9515
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (Q)
|
58% |
2499
273.1 IPS |
|
|
Face Detection (SP)
|
100% |
2596
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
6121
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1591
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7937
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10798
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8907
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
10781
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3578
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
739
987.0 IPS |
|
|
Text Classification (Q)
|
97% |
1178
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1735
33.5 IPS |
