iPad17,2
Geekbench AI Score
5295
Single Precision Score
41155
Half Precision Score
57388
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 01:35 PM |
| Views | 16 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2268
421.7 IPS |
|
|
Image Classification (HP)
|
100% |
18185
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24344
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24136
391.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33692
546.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11407
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177423
207.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
332613
389.8 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
17898
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26474
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46735
555.3 IPS |
|
|
Face Detection (Q)
|
100% |
65809
782.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9081
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111288
857.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
178834
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26833
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271570
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
374605
483.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63117
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100660
3.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6335
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6550
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17709
305.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18458
319.0 IPS |
