iPad (6th generation)
Geekbench AI Score
435
Single Precision Score
79
Half Precision Score
73
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | December 17 2025 12:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
38
7.05 IPS |
|
|
Image Classification (Q)
|
96% |
34
6.30 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
53
0.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
49
0.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
904
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
62
0.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
61
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
99% |
39
3.11 IPS |
|
|
Object Detection (Q)
|
93% |
35
2.83 IPS |
|
|
Face Detection (SP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (HP)
|
100% |
132
1.56 IPS |
|
|
Face Detection (Q)
|
100% |
98
1.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
626
4.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
92
0.71 IPS |
|
|
Depth Estimation (Q)
|
85% |
88
0.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1582
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
205
0.26 IPS |
|
|
Style Transfer (Q)
|
96% |
201
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43
1.59 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41
1.50 IPS |
|
|
Text Classification (SP)
|
100% |
215
287.1 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.6 IPS |
|
|
Text Classification (Q)
|
93% |
194
260.2 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.86 IPS |
|
|
Machine Translation (HP)
|
96% |
96
1.66 IPS |
|
|
Machine Translation (Q)
|
98% |
98
1.69 IPS |
