Google Bard
Geekbench AI Score
886
Single Precision Score
368
Half Precision Score
1358
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | arkansawdave74 |
| Upload Date | March 20 2025 05:27 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
94% |
1023
191.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
819
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1390
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
981
1.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
2164
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
58% |
709
77.5 IPS |
|
|
Face Detection (SP)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
227
2.69 IPS |
|
|
Face Detection (Q)
|
96% |
2333
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1557
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
539
4.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
2268
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1969
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
2522
3.24 IPS |
|
|
Style Transfer (Q)
|
87% |
4320
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
999
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
330
440.8 IPS |
|
|
Text Classification (Q)
|
97% |
765
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
68% |
953
18.4 IPS |
