Google Bard
Geekbench AI Score
1146
Single Precision Score
1141
Half Precision Score
1780
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | arkansawdave74 |
| Upload Date | March 20 2025 05:40 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-8130U CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | Google Bard |
| Motherboard | Google Bard |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8130U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (Q)
|
100% |
1109
206.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1139
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1292
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
2363
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (HP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (Q)
|
87% |
1101
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
2764
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1680
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1706
13.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
2859
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3582
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3624
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
6746
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1416
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
91% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1376
23.7 IPS |
