Google Bard
Geekbench AI Score
378
Single Precision Score
417
Half Precision Score
338
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | arkansawdave74 |
| Upload Date | March 20 2025 05:09 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-8130U |
| 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% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
515
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
85% |
229
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
97% |
525
6.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
636
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
704
5.42 IPS |
|
|
Depth Estimation (Q)
|
63% |
477
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1123
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1111
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1180
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
386
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
321
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.8 IPS |
|
|
Text Classification (HP)
|
100% |
672
897.5 IPS |
|
|
Text Classification (Q)
|
92% |
236
316.8 IPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
58% |
223
5.24 IPS |
