GOOGLE Guado
Geekbench AI Score
759
Single Precision Score
312
Half Precision Score
887
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Puffin |
| Upload Date | May 08 2025 06:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
94% |
613
114.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
559
9.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1149
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
887
1.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
1261
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (Q)
|
58% |
438
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (HP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (Q)
|
96% |
1593
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1316
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
456
3.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
1400
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2623
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2112
2.72 IPS |
|
|
Style Transfer (Q)
|
87% |
2734
3.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
651
869.1 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.7 IPS |
|
|
Text Classification (Q)
|
97% |
545
729.9 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
68% |
760
14.7 IPS |
