iPad (5th generation)
Geekbench ML Score
411
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 02:21 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad (5th generation) |
| Model ID | iPad6,12 |
| Motherboard | J72tAP |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
160
29.9 IPS |
|
|
Image Classification (F16)
|
100% |
172
32.1 IPS |
|
|
Image Classification (I8)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
137
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
137
2.28 IPS |
|
|
Image Segmentation (I8)
|
100% |
136
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
1040
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1029
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
1037
1.26 IPS |
|
|
Object Detection (F32)
|
100% |
236
17.6 IPS |
|
|
Object Detection (F16)
|
100% |
254
19.0 IPS |
|
|
Object Detection (I8)
|
97% |
236
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
964
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
928
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
935
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1215
9.42 IPS |
|
|
Depth Estimation (F16)
|
100% |
1157
8.98 IPS |
|
|
Depth Estimation (I8)
|
99% |
1181
9.16 IPS |
|
|
Style Transfer (F32)
|
100% |
2741
3.61 IPS |
|
|
Style Transfer (F16)
|
100% |
2798
3.68 IPS |
|
|
Style Transfer (I8)
|
100% |
2815
3.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
707
25.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
667
23.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
709
25.3 IPS |
|
|
Text Classification (F32)
|
100% |
41
58.3 IPS |
|
|
Text Classification (F16)
|
100% |
87
124.9 IPS |
|
|
Text Classification (I8)
|
96% |
86
122.9 IPS |
|
|
Machine Translation (F32)
|
100% |
175
3.22 IPS |
|
|
Machine Translation (F16)
|
100% |
150
2.77 IPS |
|
|
Machine Translation (I8)
|
99% |
176
3.24 IPS |
