iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
6987
Single Precision Score
7842
Half Precision Score
6654
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 07:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3637
676.3 IPS |
|
|
Image Classification (HP)
|
100% |
3598
669.2 IPS |
|
|
Image Classification (Q)
|
97% |
2667
497.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4049
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5012
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4992
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24685
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26338
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24066
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
3699
293.4 IPS |
|
|
Object Detection (Q)
|
91% |
2821
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
10378
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11892
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
8196
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16686
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17804
137.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13695
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42221
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48445
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45342
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9803
362.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10131
374.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7764
286.7 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3620
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1318
22.8 IPS |
