iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6159
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 22 2024 08:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2143
401.0 IPS |
|
|
Image Classification (F16)
|
100% |
5554
1.04 KIPS |
|
|
Image Classification (I8)
|
99% |
6534
1.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
839
14.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
842
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
15985
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
62885
76.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
63686
77.1 IPS |
|
|
Object Detection (F32)
|
100% |
1395
104.1 IPS |
|
|
Object Detection (F16)
|
100% |
3457
258.1 IPS |
|
|
Object Detection (I8)
|
97% |
1402
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
6063
72.1 IPS |
|
|
Face Detection (F16)
|
97% |
11670
138.8 IPS |
|
|
Face Detection (I8)
|
96% |
11708
139.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11975
92.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
38981
302.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
39482
306.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27153
35.7 IPS |
|
|
Style Transfer (F16)
|
100% |
112656
148.2 IPS |
|
|
Style Transfer (I8)
|
100% |
119273
156.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4768
170.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18083
645.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18492
660.4 IPS |
|
|
Text Classification (F32)
|
100% |
1155
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
2334
3.35 KIPS |
|
|
Text Classification (I8)
|
96% |
2305
3.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
525
9.65 IPS |
|
|
Machine Translation (F16)
|
100% |
1782
32.8 IPS |
|
|
Machine Translation (I8)
|
99% |
482
8.87 IPS |
