Micro-Star International Co., Ltd. GF63 Thin 11UC
Geekbench AI Score
8186
Single Precision Score
15134
Half Precision Score
5921
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jfreshh330 |
| Upload Date | February 04 2025 08:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GF63 Thin 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R6 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3694
687.0 IPS |
|
|
Image Classification (HP)
|
99% |
6652
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
3053
569.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5181
84.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8292
134.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4370
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29790
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
96903
113.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26415
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
4166
330.5 IPS |
|
|
Object Detection (HP)
|
100% |
8580
680.6 IPS |
|
|
Object Detection (Q)
|
84% |
3480
280.6 IPS |
|
|
Face Detection (SP)
|
100% |
9224
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
15749
187.1 IPS |
|
|
Face Detection (Q)
|
97% |
7593
90.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19736
152.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42168
324.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14676
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55616
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155500
199.9 IPS |
|
|
Style Transfer (Q)
|
98% |
46348
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11513
425.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21175
781.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7558
279.9 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
99% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1078
20.2 IPS |
