iPad (6th generation)
Geekbench AI Score
339
Single Precision Score
315
Half Precision Score
219
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | January 21 2025 06:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
130
2.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
901
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
895
1.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
659
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
92% |
99
7.94 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (Q)
|
100% |
163
1.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
486
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
444
3.42 IPS |
|
|
Depth Estimation (Q)
|
86% |
304
2.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1453
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1379
1.77 IPS |
|
|
Style Transfer (Q)
|
96% |
1068
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
213
7.88 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.9 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.1 IPS |
|
|
Text Classification (Q)
|
93% |
122
163.8 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.80 IPS |
|
|
Machine Translation (Q)
|
98% |
222
3.83 IPS |
