Micro-Star International Co., Ltd. GF63 Thin 9SC
Geekbench AI Score
1636
Single Precision Score
2343
Half Precision Score
2270
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 07:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1030
191.6 IPS |
|
|
Image Classification (HP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (Q)
|
100% |
1433
266.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2030
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2676
3.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
2461
2.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
3657
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
99% |
1639
130.4 IPS |
|
|
Object Detection (Q)
|
88% |
1530
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (Q)
|
97% |
4210
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3093
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5261
40.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4775
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7346
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
9972
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9007
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2170
80.4 IPS |
|
|
Text Classification (SP)
|
71% |
685
991.3 IPS |
|
|
Text Classification (HP)
|
71% |
773
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
608
816.5 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
97% |
891
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
