iPad17,2
Geekbench AI Score
10472
Single Precision Score
19297
Half Precision Score
20967
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 02:49 AM |
| Views | 1 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6144
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10285
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9602
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9153
148.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15236
247.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16255
263.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19516
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49243
57.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103031
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
4524
358.8 IPS |
|
|
Object Detection (HP)
|
100% |
8124
644.4 IPS |
|
|
Object Detection (Q)
|
93% |
8155
650.6 IPS |
|
|
Face Detection (SP)
|
100% |
11328
134.6 IPS |
|
|
Face Detection (HP)
|
100% |
21254
252.5 IPS |
|
|
Face Detection (Q)
|
100% |
17002
202.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18313
141.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38640
297.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
41987
327.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66806
85.9 IPS |
|
|
Style Transfer (HP)
|
100% |
162943
209.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194164
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15247
563.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25583
944.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27974
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5304
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5163
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6293
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6102
105.5 IPS |
