Micro-Star International Co., Ltd. GF63 Thin 9SC
Geekbench AI Score
1926
Single Precision Score
1910
Half Precision Score
2992
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GF63 Thin 9SC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.1 IPS |
|
|
Image Classification (Q)
|
100% |
2053
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2959
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
4697
5.51 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
87% |
1507
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
1971
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
4167
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2563
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2252
17.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5214
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6608
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
6512
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
17588
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2274
84.2 IPS |
|
|
Text Classification (SP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (Q)
|
91% |
765
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2013
34.7 IPS |
