Micro-Star International Co., Ltd. MS-7B23
Geekbench AI Score
2118
Single Precision Score
1045
Half Precision Score
3026
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 11 2025 02:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B23 |
| Motherboard | Micro-Star International Co., Ltd. B360M MORTAR (MS-7B23) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
275.9 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.6 IPS |
|
|
Image Classification (Q)
|
96% |
2814
525.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
1904
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3982
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
7546
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (Q)
|
58% |
1923
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
4749
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4990
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6653
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9859
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8079
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
8569
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2028
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
1131
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
589
786.5 IPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.40 IPS |
|
|
Machine Translation (Q)
|
68% |
1729
33.4 IPS |
