Micro-Star International Co., Ltd. Please change product name
Geekbench AI Score
1319
Single Precision Score
1442
Half Precision Score
1796
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | MHWDYI |
| Upload Date | November 19 2025 10:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Please change product name |
| Motherboard | Micro-Star International Co., Ltd. MS-16J9 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (HP)
|
100% |
775
144.2 IPS |
|
|
Image Classification (Q)
|
100% |
939
174.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1210
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2273
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
4190
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (Q)
|
87% |
1112
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
2633
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2824
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2783
21.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3517
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5709
7.34 IPS |
|
|
Style Transfer (HP)
|
100% |
6608
8.50 IPS |
|
|
Style Transfer (Q)
|
98% |
11190
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1125
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.5 IPS |
|
|
Text Classification (HP)
|
100% |
574
765.8 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1832
31.6 IPS |
