iPad16,5
Geekbench ML Score
9520
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:22 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 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 | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4181
782.4 IPS |
|
|
Image Classification (F16)
|
100% |
8265
1.55 KIPS |
|
|
Image Classification (I8)
|
99% |
9161
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2001
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2416
40.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2423
40.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
27134
32.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
100854
122.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
101581
123.0 IPS |
|
|
Object Detection (F32)
|
100% |
3720
277.7 IPS |
|
|
Object Detection (F16)
|
100% |
6187
461.9 IPS |
|
|
Object Detection (I8)
|
97% |
3399
253.8 IPS |
|
|
Face Detection (F32)
|
100% |
11598
137.9 IPS |
|
|
Face Detection (F16)
|
97% |
14446
171.8 IPS |
|
|
Face Detection (I8)
|
96% |
14527
172.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19957
154.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
46006
356.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
54781
424.8 IPS |
|
|
Style Transfer (F32)
|
100% |
54461
71.6 IPS |
|
|
Style Transfer (F16)
|
100% |
155238
204.2 IPS |
|
|
Style Transfer (I8)
|
100% |
157025
206.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8863
316.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22637
808.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22058
787.8 IPS |
|
|
Text Classification (F32)
|
100% |
1474
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1423
2.05 KIPS |
|
|
Text Classification (I8)
|
96% |
1062
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1808
33.3 IPS |
|
|
Machine Translation (I8)
|
99% |
903
16.6 IPS |
