To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
882
Single Precision Score
888
Half Precision Score
660
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | afblur |
| Upload Date | October 10 2025 09:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4770K |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock Z87 Extreme4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
744
138.3 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.3 IPS |
|
|
Image Classification (Q)
|
99% |
442
82.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
480
7.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1041
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
1099
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
85% |
486
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
1043
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
973
7.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
974
7.51 IPS |
|
|
Depth Estimation (Q)
|
63% |
889
8.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1228
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
2146
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
363
487.3 IPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
58% |
316
7.41 IPS |
