iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6907
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
1652
309.1 IPS |
|
|
Image Classification (F16)
|
100% |
6287
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6270
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3952
66.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3973
66.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
15953
19.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
62492
75.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
63752
77.2 IPS |
|
|
Object Detection (F32)
|
100% |
1443
107.8 IPS |
|
|
Object Detection (F16)
|
100% |
3724
278.0 IPS |
|
|
Object Detection (I8)
|
97% |
1526
113.9 IPS |
|
|
Face Detection (F32)
|
100% |
6061
72.1 IPS |
|
|
Face Detection (F16)
|
97% |
11605
138.0 IPS |
|
|
Face Detection (I8)
|
96% |
11635
138.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12011
93.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
39007
302.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
39982
310.1 IPS |
|
|
Style Transfer (F32)
|
100% |
27404
36.0 IPS |
|
|
Style Transfer (F16)
|
100% |
112417
147.9 IPS |
|
|
Style Transfer (I8)
|
100% |
118340
155.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6205
221.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18188
649.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18274
652.6 IPS |
|
|
Text Classification (F32)
|
100% |
1163
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
2265
3.26 KIPS |
|
|
Text Classification (I8)
|
96% |
2228
3.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
531
9.78 IPS |
|
|
Machine Translation (F16)
|
100% |
1754
32.3 IPS |
|
|
Machine Translation (I8)
|
99% |
536
9.86 IPS |
