iPad17,2
Geekbench AI Score
12878
Single Precision Score
22485
Half Precision Score
22660
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | January 04 2026 05:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5729
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
9328
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
8709
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9952
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15256
247.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16833
272.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37266
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89296
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105024
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
6319
501.2 IPS |
|
|
Object Detection (HP)
|
100% |
10771
854.4 IPS |
|
|
Object Detection (Q)
|
92% |
9723
776.4 IPS |
|
|
Face Detection (SP)
|
100% |
19004
225.8 IPS |
|
|
Face Detection (HP)
|
100% |
34650
411.7 IPS |
|
|
Face Detection (Q)
|
100% |
27406
325.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27463
211.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50611
389.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51183
399.4 IPS |
|
|
Style Transfer (SP)
|
100% |
77601
99.8 IPS |
|
|
Style Transfer (HP)
|
100% |
162096
208.4 IPS |
|
|
Style Transfer (Q)
|
96% |
198660
256.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15515
572.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26137
965.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26668
984.7 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5967
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5965
103.1 IPS |
