Google zork
Geekbench AI Score
141
Single Precision Score
202
Half Precision Score
169
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 07:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google zork |
| Model ID | Google zork |
| Motherboard | jelboz360 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
96% |
140
26.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
218
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
197
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
329
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.78 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
88% |
123
9.84 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.83 IPS |
|
|
Face Detection (Q)
|
97% |
446
5.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
470
3.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
397
3.60 IPS |
|
|
Style Transfer (SP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1076
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1065
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
144
5.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
233
8.62 IPS |
|
|
Text Classification (SP)
|
100% |
26
35.2 IPS |
|
|
Text Classification (HP)
|
100% |
27
35.4 IPS |
|
|
Text Classification (Q)
|
91% |
16
21.7 IPS |
|
|
Machine Translation (SP)
|
100% |
49
0.85 IPS |
|
|
Machine Translation (HP)
|
100% |
49
0.85 IPS |
|
|
Machine Translation (Q)
|
57% |
23
0.56 IPS |
