Micro-Star International Co., Ltd. MS-7B23
Geekbench AI Score
3134
Single Precision Score
3179
Half Precision Score
4752
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 02 2025 12:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz |
| 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 | Alto rendimiento |
| 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% |
1837
341.6 IPS |
|
|
Image Classification (HP)
|
100% |
1965
365.4 IPS |
|
|
Image Classification (Q)
|
100% |
3031
563.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3460
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4540
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4583
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
8724
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (Q)
|
87% |
3253
260.9 IPS |
|
|
Face Detection (SP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
8216
98.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5484
42.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8738
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13160
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13146
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24670
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2490
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4780
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (Q)
|
91% |
963
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2421
41.7 IPS |
