iPad17,1
Geekbench AI Score
13211
Single Precision Score
23322
Half Precision Score
23297
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 06 2026 01:04 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
6124
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10326
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9653
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10004
162.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15222
246.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16717
271.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37407
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89893
104.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105855
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
6307
500.3 IPS |
|
|
Object Detection (HP)
|
100% |
10938
867.6 IPS |
|
|
Object Detection (Q)
|
93% |
9839
784.9 IPS |
|
|
Face Detection (SP)
|
100% |
18426
218.9 IPS |
|
|
Face Detection (HP)
|
100% |
32295
383.7 IPS |
|
|
Face Detection (Q)
|
100% |
26293
312.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27646
213.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50730
390.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51491
402.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78171
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164172
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
201374
259.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15673
578.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31023
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28297
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5992
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6543
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6523
112.7 IPS |
