iPad17,2
Geekbench AI Score
13364
Single Precision Score
23705
Half Precision Score
23647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:35 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6168
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10348
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9734
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9979
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15695
254.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16932
274.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
38196
44.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
92390
107.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
107458
125.9 IPS |
|
|
Object Detection (SP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (HP)
|
100% |
11163
885.4 IPS |
|
|
Object Detection (Q)
|
93% |
9911
790.6 IPS |
|
|
Face Detection (SP)
|
100% |
18505
219.9 IPS |
|
|
Face Detection (HP)
|
100% |
32476
385.9 IPS |
|
|
Face Detection (Q)
|
100% |
26390
313.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28161
217.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51545
397.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
52267
408.1 IPS |
|
|
Style Transfer (SP)
|
100% |
79623
102.4 IPS |
|
|
Style Transfer (HP)
|
100% |
168528
216.6 IPS |
|
|
Style Transfer (Q)
|
96% |
203962
263.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15644
577.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31285
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29556
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6181
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6859
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
