N/A
Geekbench AI Score
1094
Single Precision Score
1112
Half Precision Score
605
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | May 09 2025 10:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (HP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (Q)
|
99% |
306
57.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
430
7.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1330
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1330
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
990
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (Q)
|
85% |
389
31.3 IPS |
|
|
Face Detection (SP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
961
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1424
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1446
11.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
821
7.70 IPS |
|
|
Style Transfer (SP)
|
100% |
2110
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2075
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2259
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
768
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
552
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
392
526.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (Q)
|
58% |
340
7.99 IPS |
