To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
960
Single Precision Score
963
Half Precision Score
656
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | drabanus |
| Upload Date | November 22 2025 04:34 PM |
| Views | 5 |
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% |
833
154.9 IPS |
|
|
Image Classification (HP)
|
100% |
845
157.2 IPS |
|
|
Image Classification (Q)
|
99% |
430
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
1086
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
845
67.0 IPS |
|
|
Object Detection (Q)
|
85% |
472
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1001
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
914
7.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.04 IPS |
|
|
Depth Estimation (Q)
|
63% |
909
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1079
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1082
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2111
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
644
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
357
479.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
58% |
311
7.29 IPS |
