iPad17,4
Geekbench AI Score
13175
Single Precision Score
23264
Half Precision Score
23319
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:33 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| 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% |
6079
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10285
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9719
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10026
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15431
250.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16781
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37551
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
90385
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106725
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
6314
500.8 IPS |
|
|
Object Detection (HP)
|
100% |
10859
861.3 IPS |
|
|
Object Detection (Q)
|
93% |
9821
783.5 IPS |
|
|
Face Detection (SP)
|
100% |
18598
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
32232
383.0 IPS |
|
|
Face Detection (Q)
|
100% |
26290
312.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27658
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50668
390.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
51694
403.6 IPS |
|
|
Style Transfer (SP)
|
100% |
76073
97.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164085
210.9 IPS |
|
|
Style Transfer (Q)
|
96% |
201012
259.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15393
568.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30592
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28561
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6013
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6527
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6559
113.3 IPS |
