iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6833
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:49 AM |
| Views | 1 |
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% |
1566
293.0 IPS |
|
|
Image Classification (F16)
|
100% |
6063
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6236
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3980
66.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3933
65.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16016
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
63455
76.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63201
76.5 IPS |
|
|
Object Detection (F32)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
3722
277.9 IPS |
|
|
Object Detection (I8)
|
97% |
1503
112.2 IPS |
|
|
Face Detection (F32)
|
100% |
5963
70.9 IPS |
|
|
Face Detection (F16)
|
97% |
11655
138.6 IPS |
|
|
Face Detection (I8)
|
96% |
11715
139.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12129
94.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
39226
304.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
40275
312.3 IPS |
|
|
Style Transfer (F32)
|
100% |
27375
36.0 IPS |
|
|
Style Transfer (F16)
|
100% |
112503
148.0 IPS |
|
|
Style Transfer (I8)
|
100% |
118202
155.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4969
177.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17968
641.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18092
646.1 IPS |
|
|
Text Classification (F32)
|
100% |
1164
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
2282
3.28 KIPS |
|
|
Text Classification (I8)
|
96% |
2222
3.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
535
9.84 IPS |
|
|
Machine Translation (F16)
|
100% |
1701
31.3 IPS |
|
|
Machine Translation (I8)
|
99% |
544
10.0 IPS |
