iPad17,2
Geekbench AI Score
12639
Single Precision Score
22660
Half Precision Score
22699
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | BlackLabel |
| Upload Date | November 01 2025 10:59 PM |
| Views | 8 |
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, 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% |
6104
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10157
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9695
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9924
160.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15152
245.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16622
269.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37155
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89118
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104961
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
6247
495.5 IPS |
|
|
Object Detection (HP)
|
100% |
10931
867.1 IPS |
|
|
Object Detection (Q)
|
93% |
9844
785.3 IPS |
|
|
Face Detection (SP)
|
100% |
18155
215.7 IPS |
|
|
Face Detection (HP)
|
100% |
31774
377.5 IPS |
|
|
Face Detection (Q)
|
100% |
25929
308.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27473
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50385
388.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
50859
397.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78495
100.9 IPS |
|
|
Style Transfer (HP)
|
100% |
163818
210.6 IPS |
|
|
Style Transfer (Q)
|
96% |
198467
256.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15350
566.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30742
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28329
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6109
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5312
91.8 IPS |
