iPad17,3
Geekbench AI Score
5279
Single Precision Score
8563
Half Precision Score
6794
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | February 14 2026 01:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.4 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3244
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3526
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20962
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17873
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4183
333.0 IPS |
|
|
Object Detection (Q)
|
94% |
2931
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8481
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9122
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15274
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10570
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27158
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41387
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33718
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5128
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9545
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9572
165.4 IPS |
