iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7263
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 02:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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% |
3368
630.3 IPS |
|
|
Image Classification (F16)
|
100% |
6419
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
7108
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1426
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1571
26.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1600
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23419
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
83066
100.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
84413
102.2 IPS |
|
|
Object Detection (F32)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (F16)
|
100% |
3617
270.0 IPS |
|
|
Object Detection (I8)
|
97% |
2632
196.5 IPS |
|
|
Face Detection (F32)
|
100% |
9322
110.8 IPS |
|
|
Face Detection (F16)
|
97% |
10616
126.2 IPS |
|
|
Face Detection (I8)
|
96% |
10682
127.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16670
129.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
35876
278.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
35915
278.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40821
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
127756
168.1 IPS |
|
|
Style Transfer (I8)
|
100% |
129928
170.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7999
285.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17209
614.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17903
639.4 IPS |
|
|
Text Classification (F32)
|
100% |
1138
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
760
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
676
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2558
47.1 IPS |
|
|
Machine Translation (I8)
|
99% |
648
11.9 IPS |
