iPad Pro (12.9-inch)
Geekbench ML Score
285
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 06:17 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad Pro (12.9-inch) |
| Model ID | iPad6,8 |
| Motherboard | J99aAP |
| 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 | 3.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
147
27.5 IPS |
|
|
Image Classification (F16)
|
100% |
130
24.3 IPS |
|
|
Image Classification (I8)
|
99% |
129
24.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
124
2.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
124
2.06 IPS |
|
|
Image Segmentation (I8)
|
100% |
123
2.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
863
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
854
1.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
859
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
161
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
143
10.7 IPS |
|
|
Object Detection (I8)
|
97% |
160
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
315
3.74 IPS |
|
|
Face Detection (F16)
|
100% |
309
3.68 IPS |
|
|
Face Detection (I8)
|
99% |
310
3.68 IPS |
|
|
Depth Estimation (F32)
|
100% |
412
3.19 IPS |
|
|
Depth Estimation (F16)
|
100% |
383
2.97 IPS |
|
|
Depth Estimation (I8)
|
99% |
383
2.97 IPS |
|
|
Style Transfer (F32)
|
100% |
1319
1.73 IPS |
|
|
Style Transfer (F16)
|
100% |
1320
1.74 IPS |
|
|
Style Transfer (I8)
|
100% |
1320
1.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
373
13.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
368
13.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
364
13.0 IPS |
|
|
Text Classification (F32)
|
100% |
164
235.9 IPS |
|
|
Text Classification (F16)
|
100% |
116
166.3 IPS |
|
|
Text Classification (I8)
|
96% |
116
166.4 IPS |
|
|
Machine Translation (F32)
|
100% |
221
4.07 IPS |
|
|
Machine Translation (F16)
|
100% |
183
3.36 IPS |
|
|
Machine Translation (I8)
|
99% |
220
4.06 IPS |
