iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3097
Single Precision Score
14185
Half Precision Score
14213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | October 16 2025 05:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1293
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
6264
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5874
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8900
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9262
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6013
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
68165
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64513
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
6428
511.3 IPS |
|
|
Object Detection (Q)
|
91% |
6096
487.1 IPS |
|
|
Face Detection (SP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
12402
147.4 IPS |
|
|
Face Detection (Q)
|
100% |
11902
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5444
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41372
318.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
44216
345.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16483
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
117980
151.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110858
143.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3507
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22053
814.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23352
862.3 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4262
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2708
46.8 IPS |
