Google Bard
Geekbench AI Score
412
Single Precision Score
431
Half Precision Score
347
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | arkansawdave74 |
| Upload Date | March 12 2025 07:56 AM |
| Views | 13 |
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% |
393
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
99% |
212
39.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
513
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
85% |
221
17.8 IPS |
|
|
Face Detection (SP)
|
100% |
420
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.89 IPS |
|
|
Face Detection (Q)
|
97% |
515
6.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
551
4.25 IPS |
|
|
Depth Estimation (Q)
|
63% |
466
4.37 IPS |
|
|
Style Transfer (SP)
|
100% |
941
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
933
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
1137
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
661
882.4 IPS |
|
|
Text Classification (HP)
|
100% |
671
895.1 IPS |
|
|
Text Classification (Q)
|
92% |
224
300.8 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
58% |
217
5.10 IPS |
