iPad17,2
Geekbench AI Score
13197
Single Precision Score
23132
Half Precision Score
23109
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jamesjingyi |
| Upload Date | October 23 2025 10:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
6158
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10329
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9608
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9932
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15167
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16648
269.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37108
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89402
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105182
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
10879
862.9 IPS |
|
|
Object Detection (Q)
|
93% |
9670
771.5 IPS |
|
|
Face Detection (SP)
|
100% |
18117
215.3 IPS |
|
|
Face Detection (HP)
|
100% |
31869
378.7 IPS |
|
|
Face Detection (Q)
|
100% |
25912
307.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27498
211.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50249
387.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
51286
400.4 IPS |
|
|
Style Transfer (SP)
|
100% |
77794
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
163540
210.2 IPS |
|
|
Style Transfer (Q)
|
96% |
198536
256.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15450
570.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30896
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28166
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6026
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6537
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6565
113.5 IPS |
