Micro-Star International Co., Ltd. MS-7B18
Geekbench AI Score
3798
Single Precision Score
3801
Half Precision Score
5227
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kksrs |
| Upload Date | May 15 2025 11:32 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) CC150 CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B18 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z390 TOMAHAWK (MS-7B18) |
| CPU Information | |
|---|---|
| Name | Intel(R) CC150 CPU @ 3.50GHz |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.1 IPS |
|
|
Image Classification (HP)
|
100% |
2188
407.0 IPS |
|
|
Image Classification (Q)
|
100% |
3631
675.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4585
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5278
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5275
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
10135
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (Q)
|
87% |
3694
296.3 IPS |
|
|
Face Detection (SP)
|
100% |
4978
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
4973
59.1 IPS |
|
|
Face Detection (Q)
|
97% |
9898
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6252
48.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
10009
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15965
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15950
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28751
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3142
116.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3166
116.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5469
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (Q)
|
91% |
550
739.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2884
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2854
49.2 IPS |
