iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6679
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 11:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1178
220.4 IPS |
|
|
Image Classification (F16)
|
100% |
6028
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6279
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
826
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1097
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1102
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16638
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
61315
74.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
63843
77.3 IPS |
|
|
Object Detection (F32)
|
100% |
1441
107.6 IPS |
|
|
Object Detection (F16)
|
100% |
3596
268.5 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
5949
70.7 IPS |
|
|
Face Detection (F16)
|
97% |
11850
140.9 IPS |
|
|
Face Detection (I8)
|
96% |
11904
141.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12296
95.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
40795
316.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
41042
318.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26433
34.8 IPS |
|
|
Style Transfer (F16)
|
100% |
113990
149.9 IPS |
|
|
Style Transfer (I8)
|
100% |
117816
155.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5119
182.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23474
838.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23548
841.0 IPS |
|
|
Text Classification (F32)
|
100% |
2124
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3695
5.31 KIPS |
|
|
Text Classification (I8)
|
96% |
3635
5.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
510
9.38 IPS |
|
|
Machine Translation (F16)
|
100% |
1875
34.5 IPS |
|
|
Machine Translation (I8)
|
99% |
551
10.1 IPS |
