iPad Pro (9.7-inch)
Geekbench ML Score
194
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 30 2025 03:55 AM |
| Views | 2 |
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% |
115
21.5 IPS |
|
|
Image Classification (F16)
|
100% |
104
19.5 IPS |
|
|
Image Classification (I8)
|
99% |
102
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
86
1.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
88
1.47 IPS |
|
|
Image Segmentation (I8)
|
100% |
83
1.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
579
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
568
0.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
558
0.68 IPS |
|
|
Object Detection (F32)
|
100% |
104
7.74 IPS |
|
|
Object Detection (F16)
|
100% |
98
7.34 IPS |
|
|
Object Detection (I8)
|
97% |
107
7.95 IPS |
|
|
Face Detection (F32)
|
100% |
207
2.46 IPS |
|
|
Face Detection (F16)
|
100% |
204
2.42 IPS |
|
|
Face Detection (I8)
|
99% |
200
2.38 IPS |
|
|
Depth Estimation (F32)
|
100% |
288
2.23 IPS |
|
|
Depth Estimation (F16)
|
100% |
259
2.01 IPS |
|
|
Depth Estimation (I8)
|
99% |
276
2.14 IPS |
|
|
Style Transfer (F32)
|
100% |
904
1.19 IPS |
|
|
Style Transfer (F16)
|
100% |
889
1.17 IPS |
|
|
Style Transfer (I8)
|
100% |
904
1.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
271
9.69 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
269
9.59 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
267
9.54 IPS |
|
|
Text Classification (F32)
|
100% |
116
166.5 IPS |
|
|
Text Classification (F16)
|
100% |
81
116.5 IPS |
|
|
Text Classification (I8)
|
96% |
81
116.9 IPS |
|
|
Machine Translation (F32)
|
100% |
118
2.17 IPS |
|
|
Machine Translation (F16)
|
100% |
96
1.77 IPS |
|
|
Machine Translation (I8)
|
99% |
133
2.45 IPS |
