iPad (6th generation)
Geekbench AI Score
279
Single Precision Score
262
Half Precision Score
177
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.10 |
| 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% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
96% |
96
17.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
116
1.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
784
0.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
492
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.44 IPS |
|
|
Object Detection (Q)
|
92% |
73
5.82 IPS |
|
|
Face Detection (SP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
100% |
136
1.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.90 IPS |
|
|
Depth Estimation (Q)
|
86% |
250
1.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1092
1.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1025
1.32 IPS |
|
|
Style Transfer (Q)
|
96% |
782
1.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
163
6.03 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (HP)
|
100% |
93
124.5 IPS |
|
|
Text Classification (Q)
|
93% |
95
127.1 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (Q)
|
98% |
184
3.17 IPS |
