iPad17,2
Geekbench AI Score
5287
Single Precision Score
8561
Half Precision Score
6797
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | BlackLabel |
| Upload Date | November 01 2025 10:53 PM |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2269
422.0 IPS |
|
|
Image Classification (HP)
|
100% |
3666
681.8 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3336
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11328
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20879
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17822
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
97% |
4175
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8473
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4741
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9087
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15172
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10535
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27186
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41290
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33734
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5292
195.4 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9452
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9008
155.7 IPS |
