iPad17,2
Geekbench AI Score
13073
Single Precision Score
23014
Half Precision Score
23086
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
6160
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10380
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9731
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9950
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15078
244.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16529
268.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
36575
42.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
88608
103.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104020
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
6290
499.0 IPS |
|
|
Object Detection (HP)
|
100% |
10862
861.6 IPS |
|
|
Object Detection (Q)
|
93% |
9802
782.0 IPS |
|
|
Face Detection (SP)
|
100% |
18386
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
32053
380.9 IPS |
|
|
Face Detection (Q)
|
100% |
26177
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27372
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49950
384.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
50710
395.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77658
99.8 IPS |
|
|
Style Transfer (HP)
|
100% |
162393
208.8 IPS |
|
|
Style Transfer (Q)
|
96% |
196707
253.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15221
562.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30381
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27844
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5773
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6494
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6502
112.4 IPS |
