iPad17,2
Geekbench AI Score
12668
Single Precision Score
22611
Half Precision Score
22639
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6125
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10303
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9714
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9921
160.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15181
246.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16674
270.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37228
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89309
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106005
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
6234
494.5 IPS |
|
|
Object Detection (HP)
|
100% |
10771
854.4 IPS |
|
|
Object Detection (Q)
|
93% |
9588
764.9 IPS |
|
|
Face Detection (SP)
|
100% |
17948
213.3 IPS |
|
|
Face Detection (HP)
|
100% |
31608
375.6 IPS |
|
|
Face Detection (Q)
|
100% |
25648
304.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27534
212.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50480
388.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51132
399.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78224
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
164743
211.8 IPS |
|
|
Style Transfer (Q)
|
96% |
200499
258.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15551
574.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30558
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28097
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6089
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5267
91.0 IPS |
