Micro-Star International Co., Ltd. GS66 Stealth 11UH
Geekbench AI Score
15584
Single Precision Score
25616
Half Precision Score
9982
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | toothpaste |
| Upload Date | November 27 2024 08:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. GS66 Stealth 11UH |
| Motherboard | Micro-Star International Co., Ltd. MS-16V4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6240
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
9689
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
4371
812.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9936
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14317
232.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8001
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
78485
91.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
237940
277.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
64507
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
7897
626.4 IPS |
|
|
Object Detection (HP)
|
100% |
12815
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
5537
444.1 IPS |
|
|
Face Detection (SP)
|
100% |
17006
202.1 IPS |
|
|
Face Detection (HP)
|
100% |
26568
315.7 IPS |
|
|
Face Detection (Q)
|
97% |
12547
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38156
294.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72139
555.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
25080
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
147756
189.9 IPS |
|
|
Style Transfer (HP)
|
100% |
372329
478.6 IPS |
|
|
Style Transfer (Q)
|
98% |
112006
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27566
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37028
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15822
585.9 IPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
99% |
3472
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1316
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1072
23.9 IPS |
