iPad17,3
Geekbench AI Score
13136
Single Precision Score
23110
Half Precision Score
23147
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | February 14 2026 01:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6128
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10086
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9691
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9897
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15125
245.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16608
269.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37054
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
89196
104.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104987
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
6270
497.3 IPS |
|
|
Object Detection (HP)
|
100% |
10895
864.2 IPS |
|
|
Object Detection (Q)
|
93% |
9894
789.3 IPS |
|
|
Face Detection (SP)
|
100% |
18221
216.5 IPS |
|
|
Face Detection (HP)
|
100% |
31974
379.9 IPS |
|
|
Face Detection (Q)
|
100% |
26047
309.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27441
211.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50669
390.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
50898
397.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78078
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163221
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
198007
255.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15117
558.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30655
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28236
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5420
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6020
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6523
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6575
113.6 IPS |
