iPad17,4
Geekbench AI Score
13256
Single Precision Score
23298
Half Precision Score
23355
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6131
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10398
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9776
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9989
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15197
246.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16704
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37383
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
90170
105.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105965
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
6291
499.0 IPS |
|
|
Object Detection (HP)
|
100% |
10905
865.0 IPS |
|
|
Object Detection (Q)
|
93% |
9823
783.7 IPS |
|
|
Face Detection (SP)
|
100% |
18237
216.7 IPS |
|
|
Face Detection (HP)
|
100% |
32288
383.7 IPS |
|
|
Face Detection (Q)
|
100% |
26250
311.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27508
211.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51173
394.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
51602
402.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78368
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164577
211.6 IPS |
|
|
Style Transfer (Q)
|
96% |
201271
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15368
567.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30634
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28767
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6087
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6586
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
