Micro-Star International Co., Ltd. MS-7B23
Geekbench AI Score
3452
Single Precision Score
3278
Half Precision Score
4873
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:00 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 | 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% |
2208
410.6 IPS |
|
|
Image Classification (HP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (Q)
|
100% |
3198
594.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3871
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4744
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4680
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
8976
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
87% |
3176
254.7 IPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (Q)
|
97% |
9008
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5544
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5477
42.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
8909
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13613
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13828
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24462
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2606
96.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4691
173.8 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (Q)
|
91% |
825
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2819
48.6 IPS |
