iPad Pro 11-inch M5 iPad17,2
Geekbench AI Score
5390
Single Precision Score
8632
Half Precision Score
6854
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | enroscado |
| Upload Date | January 10 2026 01:03 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3685
685.3 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3749
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11103
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20910
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17863
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4177
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2928
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8516
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4741
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9161
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15220
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10547
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27381
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41485
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33814
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5164
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5234
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9573
165.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9655
166.9 IPS |
