Google Colab Google Google Compute Engine
Geekbench AI Score
322
Single Precision Score
319
Half Precision Score
188
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | iambjlu |
| Upload Date | November 29 2025 05:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Google Google Compute Engine |
| Motherboard | Google Google Compute Engine |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU @ 2.00GHz |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 12.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
194
36.0 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.7 IPS |
|
|
Image Classification (Q)
|
99% |
110
20.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
138
2.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
247
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
85% |
116
9.33 IPS |
|
|
Face Detection (SP)
|
100% |
459
5.45 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (Q)
|
97% |
266
3.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
415
3.19 IPS |
|
|
Depth Estimation (Q)
|
63% |
249
2.34 IPS |
|
|
Style Transfer (SP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
562
0.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
236
8.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
161
5.95 IPS |
|
|
Text Classification (SP)
|
100% |
323
430.6 IPS |
|
|
Text Classification (HP)
|
100% |
344
458.9 IPS |
|
|
Text Classification (Q)
|
92% |
148
198.8 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.45 IPS |
|
|
Machine Translation (Q)
|
58% |
149
3.49 IPS |
