iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
5407
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 22 2024 04:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3498
654.5 IPS |
|
|
Image Classification (F16)
|
100% |
3438
643.3 IPS |
|
|
Image Classification (I8)
|
99% |
3461
647.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
853
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
864
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23710
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25268
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25085
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
3030
226.2 IPS |
|
|
Object Detection (F16)
|
100% |
3070
229.2 IPS |
|
|
Object Detection (I8)
|
97% |
3029
226.1 IPS |
|
|
Face Detection (F32)
|
100% |
9840
117.0 IPS |
|
|
Face Detection (F16)
|
97% |
11227
133.5 IPS |
|
|
Face Detection (I8)
|
96% |
11209
133.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16164
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17268
133.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17235
133.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40882
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
46763
61.5 IPS |
|
|
Style Transfer (I8)
|
100% |
46727
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8038
287.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8471
302.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9958
355.6 IPS |
|
|
Text Classification (F32)
|
100% |
963
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
970
1.39 KIPS |
|
|
Text Classification (I8)
|
96% |
933
1.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1438
26.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1353
24.9 IPS |
