iPad17,4
Geekbench AI Score
13361
Single Precision Score
23344
Half Precision Score
23529
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:52 AM |
| Views | 8 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6112
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10043
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
9430
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9952
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15448
250.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16822
272.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37711
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
91013
106.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106509
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
6324
501.6 IPS |
|
|
Object Detection (HP)
|
100% |
10956
869.1 IPS |
|
|
Object Detection (Q)
|
93% |
9945
793.4 IPS |
|
|
Face Detection (SP)
|
100% |
18550
220.4 IPS |
|
|
Face Detection (HP)
|
100% |
32372
384.7 IPS |
|
|
Face Detection (Q)
|
100% |
26639
316.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27751
213.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50785
391.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
51878
405.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78991
101.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164568
211.6 IPS |
|
|
Style Transfer (Q)
|
96% |
203038
262.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15488
571.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30399
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28933
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6171
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6756
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6904
119.3 IPS |
