iPad17,2
Geekbench AI Score
5254
Single Precision Score
41661
Half Precision Score
58084
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | KingJ2 |
| Upload Date | February 10 2026 01:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
18012
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
25105
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23618
382.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33347
540.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11019
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177013
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
332369
389.6 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
18276
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
27291
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4776
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
47008
558.6 IPS |
|
|
Face Detection (Q)
|
100% |
67860
806.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110389
850.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
182789
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27451
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270836
348.2 IPS |
|
|
Style Transfer (Q)
|
96% |
371865
479.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5981
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65790
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99418
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6992
9.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6839
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5129
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17706
305.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18355
317.2 IPS |
