GOOGLE Guado
Geekbench AI Score
972
Single Precision Score
984
Half Precision Score
1094
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Puffin |
| Upload Date | May 08 2025 07:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-5500U CPU @ 2.40GHz |
| 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% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.4 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
730
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
1321
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.0 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.8 IPS |
|
|
Object Detection (Q)
|
87% |
664
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1812
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1436
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1465
11.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
1686
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3222
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3239
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
3817
4.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
802
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
91% |
507
681.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1255
21.6 IPS |
