iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3437
Single Precision Score
26104
Half Precision Score
28974
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | antinoos |
| Upload Date | June 15 2025 05:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
14152
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
14739
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19516
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23949
388.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105171
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104526
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
99% |
15047
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16939
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
32882
390.7 IPS |
|
|
Face Detection (Q)
|
100% |
41565
493.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84332
649.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
105517
824.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18646
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
198479
255.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192781
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37450
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45882
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3837
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4483
77.5 IPS |
