Google nissa
Geekbench AI Score
218
Single Precision Score
312
Half Precision Score
235
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Hulkstern |
| Upload Date | March 11 2025 10:30 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google nissa |
| Model ID | Google nissa |
| Motherboard | yavijo |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (Q)
|
96% |
205
38.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
259
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
236
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
409
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
86% |
161
12.9 IPS |
|
|
Face Detection (SP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.34 IPS |
|
|
Face Detection (Q)
|
96% |
563
6.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
513
3.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
417
3.89 IPS |
|
|
Style Transfer (SP)
|
100% |
766
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1296
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1271
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
247
9.14 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.2 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.3 IPS |
|
|
Text Classification (Q)
|
91% |
42
56.2 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (Q)
|
57% |
49
1.19 IPS |
