iPad17,3
Geekbench AI Score
13325
Single Precision Score
23331
Half Precision Score
23403
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6162
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10313
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9646
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9993
162.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15352
248.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16778
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37607
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90428
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106144
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
6312
500.7 IPS |
|
|
Object Detection (HP)
|
100% |
10908
865.2 IPS |
|
|
Object Detection (Q)
|
93% |
9869
787.3 IPS |
|
|
Face Detection (SP)
|
100% |
18449
219.2 IPS |
|
|
Face Detection (HP)
|
100% |
32335
384.2 IPS |
|
|
Face Detection (Q)
|
100% |
26284
312.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27690
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50906
392.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51909
405.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78539
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164769
211.8 IPS |
|
|
Style Transfer (Q)
|
96% |
202423
261.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15566
574.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30654
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28652
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6105
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6569
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6746
116.6 IPS |
