ASUSTeK COMPUTER INC. G751JY
Geekbench AI Score
55
Single Precision Score
53
Half Precision Score
45
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 25 2025 04:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4710HQ |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUSTeK COMPUTER INC. G751JY |
| Motherboard | ASUSTeK COMPUTER INC. G751JY |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4710HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
20
3.73 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.64 IPS |
|
|
Image Classification (Q)
|
99% |
18
3.35 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
61
0.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
150
0.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
162
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
27
2.12 IPS |
|
|
Object Detection (HP)
|
100% |
30
2.38 IPS |
|
|
Object Detection (Q)
|
85% |
27
2.14 IPS |
|
|
Face Detection (SP)
|
100% |
103
1.22 IPS |
|
|
Face Detection (HP)
|
100% |
94
1.12 IPS |
|
|
Face Detection (Q)
|
97% |
86
1.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
107
0.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
111
0.86 IPS |
|
|
Depth Estimation (Q)
|
63% |
83
0.78 IPS |
|
|
Style Transfer (SP)
|
100% |
431
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
472
0.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
68
2.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
57
2.12 IPS |
|
|
Text Classification (SP)
|
100% |
6
7.71 IPS |
|
|
Text Classification (HP)
|
100% |
6
8.28 IPS |
|
|
Text Classification (Q)
|
92% |
4
5.61 IPS |
|
|
Machine Translation (SP)
|
100% |
14
0.24 IPS |
|
|
Machine Translation (HP)
|
100% |
13
0.22 IPS |
|
|
Machine Translation (Q)
|
58% |
10
0.23 IPS |
