iPad17,3
Geekbench AI Score
13186
Single Precision Score
23136
Half Precision Score
23155
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6189
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10355
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9649
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9925
160.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14909
241.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16439
266.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
36426
42.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88273
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103943
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
6292
499.1 IPS |
|
|
Object Detection (HP)
|
100% |
10898
864.4 IPS |
|
|
Object Detection (Q)
|
93% |
9843
785.2 IPS |
|
|
Face Detection (SP)
|
100% |
18196
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
31855
378.5 IPS |
|
|
Face Detection (Q)
|
100% |
26080
309.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27375
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50088
385.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
50924
397.6 IPS |
|
|
Style Transfer (SP)
|
100% |
76634
98.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162485
208.9 IPS |
|
|
Style Transfer (Q)
|
96% |
196963
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15096
557.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30624
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28233
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6693
115.7 IPS |
