iPad17,2
Geekbench AI Score
5261
Single Precision Score
41791
Half Precision Score
57909
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | October 23 2025 08:09 AM |
| Views | 7 |
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, 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% |
2270
422.2 IPS |
|
|
Image Classification (HP)
|
100% |
18212
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
25122
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24140
391.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33780
547.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10959
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178202
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
329338
386.0 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
18523
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26686
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
46808
556.2 IPS |
|
|
Face Detection (Q)
|
100% |
67631
803.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9042
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111036
855.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
183112
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27336
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
270283
347.5 IPS |
|
|
Style Transfer (Q)
|
96% |
374319
483.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64688
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100352
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
6909
9.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6597
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17838
307.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18529
320.2 IPS |
