Micro-Star International Co., Ltd. GF63 Thin 9SC
Geekbench AI Score
3987
Single Precision Score
4354
Half Precision Score
3039
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (Q)
|
99% |
1418
264.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2589
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2385
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13576
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14433
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12365
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (Q)
|
83% |
2050
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (Q)
|
97% |
3870
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8060
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8899
68.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6869
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25759
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27267
35.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22768
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6394
236.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3576
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
561
750.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1705
29.5 IPS |
|
|
Machine Translation (Q)
|
70% |
647
12.1 IPS |
