iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7551
Single Precision Score
8510
Half Precision Score
7801
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 12:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
3749
697.2 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.5 IPS |
|
|
Image Classification (Q)
|
96% |
3492
652.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5746
93.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5904
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5669
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24781
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26891
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26181
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
3685
292.3 IPS |
|
|
Object Detection (HP)
|
100% |
3709
294.2 IPS |
|
|
Object Detection (Q)
|
92% |
3394
270.9 IPS |
|
|
Face Detection (SP)
|
100% |
10451
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
12281
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
10125
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17025
131.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18420
141.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16974
132.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42904
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49703
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
47875
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9917
366.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10465
386.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9001
332.4 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3848
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1665
28.8 IPS |
