iPad17,2
Geekbench AI Score
5317
Single Precision Score
41212
Half Precision Score
57706
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
17871
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
24581
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24479
396.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33312
540.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177011
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
328426
384.9 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
18173
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
27802
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46543
553.0 IPS |
|
|
Face Detection (Q)
|
100% |
65861
782.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9078
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111724
860.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
180425
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27586
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271096
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
371700
479.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62957
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99495
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6743
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17644
303.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18481
319.4 IPS |
