iPad17,2
Geekbench AI Score
5341
Single Precision Score
41267
Half Precision Score
57912
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 08 2026 11:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
18098
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
23758
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24317
394.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33919
549.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11096
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178505
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
328602
385.1 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
18070
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
27252
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47133
560.0 IPS |
|
|
Face Detection (Q)
|
100% |
66803
793.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110285
849.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
183183
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27618
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271556
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
373424
481.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62785
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99208
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6782
9.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17713
305.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19125
330.5 IPS |
