Micro-Star International Co., Ltd. MS-7B23
Geekbench AI Score
2419
Single Precision Score
2418
Half Precision Score
3400
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 11 2025 02:49 PM |
| 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 | 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
1473
273.9 IPS |
|
|
Image Classification (Q)
|
100% |
1654
307.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
5734
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (Q)
|
87% |
2332
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
6051
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3588
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3542
27.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5835
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8351
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8473
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16311
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3186
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
91% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2255
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2271
39.1 IPS |
