iPad17,1
Geekbench AI Score
13088
Single Precision Score
23203
Half Precision Score
23287
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | January 15 2026 12:23 AM |
| Views | 6 |
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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5949
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
10317
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9660
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9935
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15231
246.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16725
271.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37214
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89228
104.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105267
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
6317
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10789
855.8 IPS |
|
|
Object Detection (Q)
|
93% |
9865
787.0 IPS |
|
|
Face Detection (SP)
|
100% |
18280
217.2 IPS |
|
|
Face Detection (HP)
|
100% |
32219
382.8 IPS |
|
|
Face Detection (Q)
|
100% |
26402
313.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26966
207.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50559
389.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51343
400.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77849
100.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164257
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
199934
258.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15397
568.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30794
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28332
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6007
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6495
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6513
112.6 IPS |
