To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
30
Single Precision Score
30
Half Precision Score
22
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | drabanus |
| Upload Date | November 22 2025 08:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock H110 Pro BTC+ |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17
3.21 IPS |
|
|
Image Classification (HP)
|
100% |
17
3.22 IPS |
|
|
Image Classification (Q)
|
97% |
14
2.55 IPS |
|
|
Image Segmentation (SP)
|
100% |
23
0.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
23
0.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
18
0.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
28
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
28
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
22
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
17
1.33 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.33 IPS |
|
|
Object Detection (Q)
|
87% |
13
1.06 IPS |
|
|
Face Detection (SP)
|
100% |
56
0.67 IPS |
|
|
Face Detection (HP)
|
100% |
56
0.67 IPS |
|
|
Face Detection (Q)
|
97% |
43
0.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
40
0.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
40
0.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
27
0.25 IPS |
|
|
Style Transfer (SP)
|
100% |
85
0.11 IPS |
|
|
Style Transfer (HP)
|
100% |
85
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
69
0.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18
0.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18
0.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14
0.53 IPS |
|
|
Text Classification (SP)
|
100% |
23
30.6 IPS |
|
|
Text Classification (HP)
|
100% |
23
30.6 IPS |
|
|
Text Classification (Q)
|
91% |
17
23.3 IPS |
|
|
Machine Translation (SP)
|
100% |
44
0.76 IPS |
|
|
Machine Translation (HP)
|
100% |
44
0.76 IPS |
|
|
Machine Translation (Q)
|
58% |
23
0.56 IPS |
