iPad17,1
Geekbench AI Score
13179
Single Precision Score
23241
Half Precision Score
23330
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:27 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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% |
6102
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10136
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9698
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9943
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15132
245.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16709
270.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37293
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89493
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105584
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
6323
501.5 IPS |
|
|
Object Detection (HP)
|
100% |
10954
868.9 IPS |
|
|
Object Detection (Q)
|
93% |
9913
790.9 IPS |
|
|
Face Detection (SP)
|
100% |
18357
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
32325
384.1 IPS |
|
|
Face Detection (Q)
|
100% |
26103
310.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27537
212.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50614
389.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51644
403.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77986
100.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164328
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
200189
258.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15324
565.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30761
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28387
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5620
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6050
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6573
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6542
113.1 IPS |
