Google Google Compute Engine
Geekbench AI Score
1119
Single Precision Score
1122
Half Precision Score
707
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Jerry27889 |
| Upload Date | April 16 2025 02:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Google Google Compute Engine |
| Motherboard | Google Google Compute Engine |
| CPU Information | |
|---|---|
| Name | Intel Xeon |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 58.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
855
158.9 IPS |
|
|
Image Classification (HP)
|
100% |
861
160.2 IPS |
|
|
Image Classification (Q)
|
99% |
506
94.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
478
7.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1363
1.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
1458
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
896
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
85% |
539
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1127
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1327
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1316
10.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
945
8.86 IPS |
|
|
Style Transfer (SP)
|
100% |
1670
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
1668
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2607
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
733
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (Q)
|
92% |
316
424.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (Q)
|
58% |
258
6.06 IPS |
