iPad17,2
Geekbench AI Score
12982
Single Precision Score
22919
Half Precision Score
22869
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6142
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10120
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9446
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9845
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15061
244.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16507
267.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36897
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88797
103.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104499
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
6224
493.7 IPS |
|
|
Object Detection (HP)
|
100% |
10766
854.0 IPS |
|
|
Object Detection (Q)
|
93% |
9541
761.2 IPS |
|
|
Face Detection (SP)
|
100% |
17687
210.2 IPS |
|
|
Face Detection (HP)
|
100% |
31413
373.3 IPS |
|
|
Face Detection (Q)
|
100% |
25503
303.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27406
211.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49216
379.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
50427
393.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74177
95.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163080
209.6 IPS |
|
|
Style Transfer (Q)
|
96% |
198190
255.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15624
576.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30497
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27567
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5764
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6437
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6471
111.8 IPS |
