iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7272
Single Precision Score
8098
Half Precision Score
7512
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 09:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3718
691.4 IPS |
|
|
Image Classification (HP)
|
100% |
3667
682.0 IPS |
|
|
Image Classification (Q)
|
96% |
3469
647.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5713
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5616
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24636
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26719
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26068
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3654
289.8 IPS |
|
|
Object Detection (HP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (Q)
|
92% |
3343
266.9 IPS |
|
|
Face Detection (SP)
|
100% |
10349
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
11949
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
10041
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16806
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18195
140.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
16467
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43234
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49331
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47732
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9788
361.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10324
381.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8830
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1301
22.5 IPS |
