iPad (5th generation)
Geekbench ML Score
399
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 29 2026 12:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.15 |
| Model | iPad (5th generation) |
| Model ID | iPad6,11 |
| Motherboard | J71tAP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
170
31.8 IPS |
|
|
Image Classification (F16)
|
100% |
170
31.8 IPS |
|
|
Image Classification (I8)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
136
2.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
137
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
1036
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1033
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
1029
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
254
19.0 IPS |
|
|
Object Detection (F16)
|
100% |
255
19.0 IPS |
|
|
Object Detection (I8)
|
97% |
241
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
944
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
934
11.1 IPS |
|
|
Face Detection (I8)
|
99% |
930
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1177
9.13 IPS |
|
|
Depth Estimation (F16)
|
100% |
1186
9.19 IPS |
|
|
Depth Estimation (I8)
|
99% |
1169
9.07 IPS |
|
|
Style Transfer (F32)
|
100% |
2788
3.67 IPS |
|
|
Style Transfer (F16)
|
100% |
2786
3.66 IPS |
|
|
Style Transfer (I8)
|
100% |
2702
3.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
688
24.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
665
23.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
659
23.5 IPS |
|
|
Text Classification (F32)
|
100% |
43
62.4 IPS |
|
|
Text Classification (F16)
|
100% |
85
122.3 IPS |
|
|
Text Classification (I8)
|
96% |
85
121.9 IPS |
|
|
Machine Translation (F32)
|
100% |
141
2.60 IPS |
|
|
Machine Translation (F16)
|
100% |
113
2.08 IPS |
|
|
Machine Translation (I8)
|
99% |
129
2.38 IPS |
