Google zork
Geekbench AI Score
143
Single Precision Score
203
Half Precision Score
169
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 06:10 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% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (Q)
|
96% |
139
26.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
222
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
331
0.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
332
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.81 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
88% |
124
9.93 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (Q)
|
97% |
443
5.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
302
2.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
464
3.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
387
3.51 IPS |
|
|
Style Transfer (SP)
|
100% |
574
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1077
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1071
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
233
8.63 IPS |
|
|
Text Classification (SP)
|
100% |
27
35.7 IPS |
|
|
Text Classification (HP)
|
100% |
27
35.8 IPS |
|
|
Text Classification (Q)
|
91% |
16
21.8 IPS |
|
|
Machine Translation (SP)
|
100% |
50
0.86 IPS |
|
|
Machine Translation (HP)
|
100% |
50
0.85 IPS |
|
|
Machine Translation (Q)
|
57% |
23
0.57 IPS |
