iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6892
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1680
314.3 IPS |
|
|
Image Classification (F16)
|
100% |
5463
1.02 KIPS |
|
|
Image Classification (I8)
|
99% |
6128
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3991
66.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3864
64.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16566
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62252
75.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
65017
78.7 IPS |
|
|
Object Detection (F32)
|
100% |
1568
117.0 IPS |
|
|
Object Detection (F16)
|
100% |
4272
319.0 IPS |
|
|
Object Detection (I8)
|
97% |
1484
110.8 IPS |
|
|
Face Detection (F32)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (F16)
|
97% |
11620
138.2 IPS |
|
|
Face Detection (I8)
|
96% |
11249
133.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12179
94.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43212
335.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
45066
349.5 IPS |
|
|
Style Transfer (F32)
|
100% |
26765
35.2 IPS |
|
|
Style Transfer (F16)
|
100% |
112569
148.1 IPS |
|
|
Style Transfer (I8)
|
100% |
121710
160.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4413
157.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16378
584.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18006
643.1 IPS |
|
|
Text Classification (F32)
|
100% |
966
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
2507
3.60 KIPS |
|
|
Text Classification (I8)
|
96% |
2462
3.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
544
10.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1859
34.2 IPS |
|
|
Machine Translation (I8)
|
99% |
547
10.1 IPS |
