iPad Pro (9.7-inch)
Geekbench ML Score
261
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 03:09 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPad Pro (9.7-inch) |
| Model ID | iPad6,3 |
| Motherboard | J127AP |
| CPU Information | |
|---|---|
| Name | Apple A9X |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.26 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 | 1.92 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
142
26.6 IPS |
|
|
Image Classification (F16)
|
100% |
125
23.5 IPS |
|
|
Image Classification (I8)
|
99% |
125
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
120
2.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
120
2.01 IPS |
|
|
Image Segmentation (I8)
|
100% |
120
2.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
823
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
814
0.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
815
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
154
11.5 IPS |
|
|
Object Detection (F16)
|
100% |
134
10.0 IPS |
|
|
Object Detection (I8)
|
97% |
149
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
288
3.43 IPS |
|
|
Face Detection (F16)
|
100% |
289
3.44 IPS |
|
|
Face Detection (I8)
|
99% |
289
3.44 IPS |
|
|
Depth Estimation (F32)
|
100% |
401
3.11 IPS |
|
|
Depth Estimation (F16)
|
100% |
364
2.83 IPS |
|
|
Depth Estimation (I8)
|
99% |
360
2.79 IPS |
|
|
Style Transfer (F32)
|
100% |
1222
1.61 IPS |
|
|
Style Transfer (F16)
|
100% |
1170
1.54 IPS |
|
|
Style Transfer (I8)
|
100% |
1149
1.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
324
11.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
320
11.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
321
11.5 IPS |
|
|
Text Classification (F32)
|
100% |
122
174.8 IPS |
|
|
Text Classification (F16)
|
100% |
100
143.6 IPS |
|
|
Text Classification (I8)
|
96% |
101
144.8 IPS |
|
|
Machine Translation (F32)
|
100% |
195
3.59 IPS |
|
|
Machine Translation (F16)
|
100% |
169
3.10 IPS |
|
|
Machine Translation (I8)
|
99% |
195
3.59 IPS |
