iPad17,4
Geekbench AI Score
13233
Single Precision Score
23398
Half Precision Score
23461
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 03:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6165
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10359
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9764
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9952
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15361
249.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16777
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37296
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89636
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105576
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
6396
507.3 IPS |
|
|
Object Detection (HP)
|
100% |
11322
898.0 IPS |
|
|
Object Detection (Q)
|
92% |
10043
801.9 IPS |
|
|
Face Detection (SP)
|
100% |
19058
226.4 IPS |
|
|
Face Detection (HP)
|
100% |
35070
416.7 IPS |
|
|
Face Detection (Q)
|
100% |
27568
327.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27656
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51348
395.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51772
404.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78079
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163504
210.2 IPS |
|
|
Style Transfer (Q)
|
96% |
199807
257.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15444
570.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28779
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28004
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6580
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6597
114.0 IPS |
