iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3084
Single Precision Score
5455
Half Precision Score
4437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | October 16 2025 05:20 AM |
| Views | 6 |
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 | iPad13,10 |
| Motherboard | J523AP |
| 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% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2496
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14072
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12083
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2393
190.5 IPS |
|
|
Object Detection (Q)
|
94% |
1775
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10380
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7312
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16387
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26165
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21694
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3480
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4757
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3481
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4756
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4733
81.8 IPS |
