N/A
Geekbench AI Score
21
Single Precision Score
21
Half Precision Score
16
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | cms1 |
| Upload Date | September 19 2025 03:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 9.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12
2.30 IPS |
|
|
Image Classification (HP)
|
100% |
12
2.32 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.85 IPS |
|
|
Image Segmentation (SP)
|
100% |
17
0.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
17
0.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
14
0.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
20
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
21
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
17
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
13
1.00 IPS |
|
|
Object Detection (HP)
|
100% |
13
1.01 IPS |
|
|
Object Detection (Q)
|
87% |
10
0.79 IPS |
|
|
Face Detection (SP)
|
100% |
38
0.46 IPS |
|
|
Face Detection (HP)
|
100% |
38
0.45 IPS |
|
|
Face Detection (Q)
|
97% |
30
0.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
28
0.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
28
0.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
20
0.19 IPS |
|
|
Style Transfer (SP)
|
100% |
66
0.09 IPS |
|
|
Style Transfer (HP)
|
100% |
66
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
52
0.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13
0.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13
0.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11
0.39 IPS |
|
|
Text Classification (SP)
|
100% |
16
20.7 IPS |
|
|
Text Classification (HP)
|
100% |
16
21.0 IPS |
|
|
Text Classification (Q)
|
91% |
12
16.0 IPS |
|
|
Machine Translation (SP)
|
100% |
28
0.49 IPS |
|
|
Machine Translation (HP)
|
100% |
28
0.49 IPS |
|
|
Machine Translation (Q)
|
58% |
16
0.37 IPS |
