iPad17,4
Geekbench AI Score
13357
Single Precision Score
23422
Half Precision Score
23433
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 02:15 AM |
| Views | 3 |
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% |
6113
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10182
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9507
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9939
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15414
249.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16839
273.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37736
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90696
105.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106343
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
6336
502.5 IPS |
|
|
Object Detection (HP)
|
100% |
10962
869.5 IPS |
|
|
Object Detection (Q)
|
93% |
9895
789.4 IPS |
|
|
Face Detection (SP)
|
100% |
18460
219.3 IPS |
|
|
Face Detection (HP)
|
100% |
32400
385.0 IPS |
|
|
Face Detection (Q)
|
100% |
26544
315.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27758
213.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51396
396.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51908
405.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78790
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164578
211.6 IPS |
|
|
Style Transfer (Q)
|
96% |
202233
261.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15579
575.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30999
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29162
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6148
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6682
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6675
115.3 IPS |
