To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1016
Single Precision Score
1023
Half Precision Score
567
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | conectionist |
| Upload Date | January 30 2025 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7400 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock H110M-STX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (Q)
|
99% |
354
66.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
424
6.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1219
1.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
984
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
85% |
394
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
846
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1239
9.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1261
9.71 IPS |
|
|
Depth Estimation (Q)
|
63% |
779
7.31 IPS |
|
|
Style Transfer (SP)
|
100% |
1672
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
1676
2.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2095
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
559
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
92% |
300
403.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (Q)
|
58% |
258
6.06 IPS |
