iPad17,1
Geekbench AI Score
12643
Single Precision Score
22718
Half Precision Score
22742
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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% |
6148
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10403
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9786
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9944
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15154
245.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16528
267.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
36814
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
89371
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105029
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
6319
501.3 IPS |
|
|
Object Detection (HP)
|
100% |
10994
872.0 IPS |
|
|
Object Detection (Q)
|
93% |
9813
782.8 IPS |
|
|
Face Detection (SP)
|
100% |
18241
216.7 IPS |
|
|
Face Detection (HP)
|
100% |
31756
377.3 IPS |
|
|
Face Detection (Q)
|
100% |
25844
307.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27347
210.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50906
392.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
50911
397.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78073
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163199
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
200074
258.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15202
561.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30881
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28305
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5351
92.5 IPS |
