iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2999
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | bkr899 |
| Upload Date | August 15 2024 01:00 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1286
240.7 IPS |
|
|
Image Classification (F16)
|
100% |
1672
312.9 IPS |
|
|
Image Classification (I8)
|
99% |
1672
312.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
594
9.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
594
9.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
593
9.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
5618
6.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
12952
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12960
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1306
97.5 IPS |
|
|
Object Detection (F16)
|
100% |
1745
130.3 IPS |
|
|
Object Detection (I8)
|
97% |
1274
95.1 IPS |
|
|
Face Detection (F32)
|
100% |
2385
28.4 IPS |
|
|
Face Detection (F16)
|
97% |
4007
47.6 IPS |
|
|
Face Detection (I8)
|
97% |
4003
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5192
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8134
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8137
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15611
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24627
32.4 IPS |
|
|
Style Transfer (I8)
|
100% |
24385
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3500
125.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4533
161.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4543
162.2 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3396
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3414
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
729
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
728
13.4 IPS |
