iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3479
Single Precision Score
6082
Half Precision Score
4906
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 12:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2755
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6866
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15339
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13172
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2812
223.9 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3496
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5636
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11071
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7771
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18679
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29385
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24293
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4113
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3737
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6420
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6383
110.3 IPS |
