Micro-Star International Co., Ltd. GF63 Thin 9SC
Geekbench AI Score
1933
Single Precision Score
848
Half Precision Score
2313
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 07:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
344
63.9 IPS |
|
|
Image Classification (Q)
|
96% |
2662
497.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
1343
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3197
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2616
3.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
5905
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
1549
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4281
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4064
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1142
8.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
5455
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7799
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5391
6.93 IPS |
|
|
Style Transfer (Q)
|
87% |
7672
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1371
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1582
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
531
709.0 IPS |
|
|
Text Classification (Q)
|
97% |
338
452.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (Q)
|
68% |
1405
27.2 IPS |
