iPad17,4
Geekbench AI Score
13377
Single Precision Score
23420
Half Precision Score
23516
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 04:30 AM |
| Views | 6 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6153
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10053
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
9539
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9969
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15522
251.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16849
273.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37751
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
91000
106.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106393
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
6359
504.4 IPS |
|
|
Object Detection (HP)
|
100% |
10942
867.9 IPS |
|
|
Object Detection (Q)
|
93% |
9941
793.1 IPS |
|
|
Face Detection (SP)
|
100% |
18472
219.5 IPS |
|
|
Face Detection (HP)
|
100% |
32382
384.8 IPS |
|
|
Face Detection (Q)
|
100% |
26619
316.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27758
213.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51197
394.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
52010
406.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78800
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165580
212.9 IPS |
|
|
Style Transfer (Q)
|
96% |
202311
261.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15529
573.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30614
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28953
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6182
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6756
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6793
117.4 IPS |
