iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
7403
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 09:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
3365
629.7 IPS |
|
|
Image Classification (F16)
|
100% |
6493
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6780
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1446
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1601
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1611
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23459
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
81552
98.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
84804
102.7 IPS |
|
|
Object Detection (F32)
|
100% |
2832
211.4 IPS |
|
|
Object Detection (F16)
|
100% |
3787
282.7 IPS |
|
|
Object Detection (I8)
|
97% |
2631
196.4 IPS |
|
|
Face Detection (F32)
|
100% |
9329
110.9 IPS |
|
|
Face Detection (F16)
|
97% |
10646
126.6 IPS |
|
|
Face Detection (I8)
|
96% |
10641
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16480
127.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
38988
302.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
35853
278.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40376
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
131050
172.4 IPS |
|
|
Style Transfer (I8)
|
100% |
132838
174.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9672
345.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17734
633.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16544
590.8 IPS |
|
|
Text Classification (F32)
|
100% |
1128
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
758
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
756
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
796
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2584
47.6 IPS |
|
|
Machine Translation (I8)
|
99% |
741
13.6 IPS |
