iPad (7th generation)
Geekbench ML Score
304
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 04:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad (7th generation) |
| Model ID | iPad7,11 |
| Motherboard | J171AP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 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 | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
185
34.7 IPS |
|
|
Image Classification (F16)
|
100% |
172
32.1 IPS |
|
|
Image Classification (I8)
|
99% |
166
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
114
1.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
115
1.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
117
1.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
943
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
921
1.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
890
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
196
14.6 IPS |
|
|
Object Detection (F16)
|
100% |
172
12.9 IPS |
|
|
Object Detection (I8)
|
97% |
196
14.6 IPS |
|
|
Face Detection (F32)
|
100% |
380
4.52 IPS |
|
|
Face Detection (F16)
|
100% |
365
4.34 IPS |
|
|
Face Detection (I8)
|
99% |
364
4.32 IPS |
|
|
Depth Estimation (F32)
|
100% |
491
3.81 IPS |
|
|
Depth Estimation (F16)
|
100% |
459
3.56 IPS |
|
|
Depth Estimation (I8)
|
99% |
441
3.42 IPS |
|
|
Style Transfer (F32)
|
100% |
1402
1.84 IPS |
|
|
Style Transfer (F16)
|
100% |
1290
1.70 IPS |
|
|
Style Transfer (I8)
|
100% |
1258
1.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
389
13.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
395
14.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
397
14.2 IPS |
|
|
Text Classification (F32)
|
100% |
131
187.8 IPS |
|
|
Text Classification (F16)
|
100% |
120
172.1 IPS |
|
|
Text Classification (I8)
|
96% |
112
161.2 IPS |
|
|
Machine Translation (F32)
|
100% |
196
3.61 IPS |
|
|
Machine Translation (F16)
|
100% |
168
3.10 IPS |
|
|
Machine Translation (I8)
|
99% |
190
3.49 IPS |
