iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
9887
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 06:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3353
627.5 IPS |
|
|
Image Classification (F16)
|
100% |
10862
2.03 KIPS |
|
|
Image Classification (I8)
|
99% |
11532
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1420
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1861
31.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1849
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23539
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
93179
112.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
95939
116.2 IPS |
|
|
Object Detection (F32)
|
100% |
2867
214.0 IPS |
|
|
Object Detection (F16)
|
100% |
4709
351.6 IPS |
|
|
Object Detection (I8)
|
97% |
2639
197.0 IPS |
|
|
Face Detection (F32)
|
100% |
8839
105.1 IPS |
|
|
Face Detection (F16)
|
97% |
19049
226.5 IPS |
|
|
Face Detection (I8)
|
96% |
19015
226.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16317
126.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
45792
355.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
46066
357.2 IPS |
|
|
Style Transfer (F32)
|
100% |
36755
48.3 IPS |
|
|
Style Transfer (F16)
|
100% |
149040
196.0 IPS |
|
|
Style Transfer (I8)
|
100% |
149840
197.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9701
346.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34895
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34425
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2057
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3364
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3386
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2746
50.5 IPS |
|
|
Machine Translation (I8)
|
99% |
789
14.5 IPS |
