iPad PRO 11" 256GB (M5) iPad17,2
Geekbench AI Score
5303
Single Precision Score
8671
Half Precision Score
6869
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | November 02 2025 01:57 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.0 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3464
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3801
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11029
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20943
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17840
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4198
334.2 IPS |
|
|
Object Detection (Q)
|
94% |
2940
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4756
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15246
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10579
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27376
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41378
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33802
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6016
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7328
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9685
167.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9619
166.2 IPS |
