iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
8174
Single Precision Score
9169
Half Precision Score
8075
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 09 2026 01:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3710
690.0 IPS |
|
|
Image Classification (HP)
|
100% |
3710
690.0 IPS |
|
|
Image Classification (Q)
|
94% |
3416
638.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5781
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5929
96.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5676
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24724
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26782
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26044
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.1 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
91% |
3624
289.6 IPS |
|
|
Face Detection (SP)
|
100% |
10799
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
12530
148.9 IPS |
|
|
Face Detection (Q)
|
100% |
11460
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16915
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18151
139.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17046
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42673
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49542
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47642
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9619
355.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10221
377.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8821
325.7 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4009
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2012
34.8 IPS |
