iPad (6th generation)
Geekbench AI Score
345
Single Precision Score
321
Half Precision Score
224
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | January 21 2025 06:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.3 |
| Model | iPad (6th generation) |
| Model ID | iPad7,6 |
| Motherboard | J72bAP |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
131
2.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
917
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
675
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
92% |
101
8.03 IPS |
|
|
Face Detection (SP)
|
100% |
381
4.52 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.46 IPS |
|
|
Face Detection (Q)
|
100% |
165
1.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
455
3.50 IPS |
|
|
Depth Estimation (Q)
|
86% |
308
2.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1476
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1429
1.84 IPS |
|
|
Style Transfer (Q)
|
96% |
1103
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
219
8.09 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.5 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.0 IPS |
|
|
Text Classification (Q)
|
93% |
126
169.2 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.94 IPS |
