iPad17,1
Geekbench AI Score
13056
Single Precision Score
23188
Half Precision Score
23120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | korneyka3000 |
| Upload Date | December 03 2025 09:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
6152
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10239
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9747
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9964
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15194
246.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16641
269.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37274
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89699
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105686
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
6247
495.5 IPS |
|
|
Object Detection (HP)
|
100% |
10920
866.2 IPS |
|
|
Object Detection (Q)
|
93% |
9609
766.6 IPS |
|
|
Face Detection (SP)
|
100% |
17902
212.7 IPS |
|
|
Face Detection (HP)
|
100% |
31829
378.2 IPS |
|
|
Face Detection (Q)
|
100% |
25760
306.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27488
211.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50557
389.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51130
399.2 IPS |
|
|
Style Transfer (SP)
|
100% |
74331
95.6 IPS |
|
|
Style Transfer (HP)
|
100% |
164302
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
197217
254.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15431
569.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30644
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28359
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5961
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6499
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6504
112.4 IPS |
