iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7460
Single Precision Score
8358
Half Precision Score
7667
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | August 22 2025 11:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
96% |
3419
638.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5727
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5892
95.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5623
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24702
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26798
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26100
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3642
288.9 IPS |
|
|
Object Detection (HP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (Q)
|
92% |
3393
270.9 IPS |
|
|
Face Detection (SP)
|
100% |
10306
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
12082
143.6 IPS |
|
|
Face Detection (Q)
|
100% |
9991
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16804
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18114
139.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
16406
128.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43094
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49216
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47719
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9769
360.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10321
381.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8778
324.1 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1603
27.7 IPS |
