GOOGLE Guado
Geekbench AI Score
482
Single Precision Score
480
Half Precision Score
301
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Puffin |
| Upload Date | May 08 2025 12:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-5500U |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | GOOGLE Guado |
| Motherboard | GOOGLE Guado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.5 IPS |
|
|
Image Classification (Q)
|
99% |
186
34.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
435
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (Q)
|
85% |
195
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
647
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.73 IPS |
|
|
Face Detection (Q)
|
97% |
453
5.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
600
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
598
4.60 IPS |
|
|
Depth Estimation (Q)
|
63% |
392
3.68 IPS |
|
|
Style Transfer (SP)
|
100% |
884
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
870
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
980
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.47 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.1 IPS |
|
|
Text Classification (HP)
|
100% |
477
636.6 IPS |
|
|
Text Classification (Q)
|
92% |
200
269.2 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
58% |
201
4.73 IPS |
