iPad17,2
Geekbench AI Score
5300
Single Precision Score
42618
Half Precision Score
60037
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 12:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
18909
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
26439
4.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24517
397.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
34198
554.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11332
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176754
206.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
334415
392.0 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
18965
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27592
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
47840
568.4 IPS |
|
|
Face Detection (Q)
|
100% |
69015
820.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9081
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
113647
875.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
193580
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
27517
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271345
348.8 IPS |
|
|
Style Transfer (Q)
|
96% |
378931
489.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66280
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102610
3.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
7089
9.46 KIPS |
|
|
Text Classification (Q)
|
93% |
7380
9.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4995
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
18350
316.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19024
328.8 IPS |
