iPad (6th generation)
Geekbench AI Score
337
Single Precision Score
316
Half Precision Score
251
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 17 2024 10:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
99% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
100% |
161
2.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
640
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
92% |
100
8.00 IPS |
|
|
Face Detection (SP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
100% |
163
1.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
454
3.50 IPS |
|
|
Depth Estimation (Q)
|
97% |
440
3.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1422
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (Q)
|
100% |
1357
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
391
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
392
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
212
7.86 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.3 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.2 IPS |
|
|
Text Classification (Q)
|
93% |
122
163.9 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (Q)
|
98% |
218
3.76 IPS |
