iPad17,4
Geekbench AI Score
13339
Single Precision Score
23272
Half Precision Score
23454
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 30 2026 08:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
6133
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10148
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9527
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9973
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15472
250.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16780
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37603
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90711
105.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106504
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
6316
501.0 IPS |
|
|
Object Detection (HP)
|
100% |
10942
867.9 IPS |
|
|
Object Detection (Q)
|
93% |
9973
795.6 IPS |
|
|
Face Detection (SP)
|
100% |
18440
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
32381
384.8 IPS |
|
|
Face Detection (Q)
|
100% |
26228
311.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27775
214.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50726
390.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
52056
406.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78237
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
164247
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
202802
261.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15443
570.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30718
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29039
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6181
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6597
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6668
115.2 IPS |
