MSOI GT62VR 6RD Ubuntu 24.04 LTS 32GB RAM Micro-Star International Co., Ltd. GT62VR 6RD
Geekbench AI Score
25
Single Precision Score
25
Half Precision Score
19
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | cllee |
| Upload Date | April 06 2025 01:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-6700HQ |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. GT62VR 6RD |
| Motherboard | Micro-Star International Co., Ltd. MS-16L2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15
2.73 IPS |
|
|
Image Classification (HP)
|
100% |
15
2.73 IPS |
|
|
Image Classification (Q)
|
97% |
12
2.15 IPS |
|
|
Image Segmentation (SP)
|
100% |
20
0.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
20
0.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
16
0.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
23
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
23
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
19
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
14
1.13 IPS |
|
|
Object Detection (HP)
|
100% |
14
1.13 IPS |
|
|
Object Detection (Q)
|
87% |
11
0.89 IPS |
|
|
Face Detection (SP)
|
100% |
48
0.57 IPS |
|
|
Face Detection (HP)
|
100% |
48
0.57 IPS |
|
|
Face Detection (Q)
|
97% |
37
0.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
34
0.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
34
0.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
23
0.21 IPS |
|
|
Style Transfer (SP)
|
100% |
72
0.09 IPS |
|
|
Style Transfer (HP)
|
100% |
72
0.09 IPS |
|
|
Style Transfer (Q)
|
98% |
57
0.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15
0.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15
0.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12
0.44 IPS |
|
|
Text Classification (SP)
|
100% |
19
25.6 IPS |
|
|
Text Classification (HP)
|
100% |
19
25.6 IPS |
|
|
Text Classification (Q)
|
91% |
14
19.4 IPS |
|
|
Machine Translation (SP)
|
100% |
37
0.64 IPS |
|
|
Machine Translation (HP)
|
100% |
37
0.64 IPS |
|
|
Machine Translation (Q)
|
58% |
20
0.47 IPS |
