iPad17,1
Geekbench AI Score
13278
Single Precision Score
23520
Half Precision Score
23447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:13 PM |
| Views | 1 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6134
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10424
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
9718
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10018
162.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15589
252.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16796
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37932
44.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
91478
106.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106554
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
6296
499.4 IPS |
|
|
Object Detection (HP)
|
100% |
10979
870.9 IPS |
|
|
Object Detection (Q)
|
93% |
9876
787.9 IPS |
|
|
Face Detection (SP)
|
100% |
18198
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
32464
385.7 IPS |
|
|
Face Detection (Q)
|
100% |
26101
310.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27746
213.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51344
395.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51810
404.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78728
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164861
211.9 IPS |
|
|
Style Transfer (Q)
|
96% |
203236
262.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15906
587.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30869
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29307
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6083
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6630
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6629
114.6 IPS |
