iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3055
Single Precision Score
5393
Half Precision Score
4375
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 12:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
2231
414.9 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2519
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5443
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
11839
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9744
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5369
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10418
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7385
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15783
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26167
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21798
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4372
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4350
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4759
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4776
82.5 IPS |
