iPad17,4
Geekbench AI Score
13547
Single Precision Score
24087
Half Precision Score
25459
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6007
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10013
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
10440
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9942
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15605
253.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16705
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37674
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90379
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118507
138.9 IPS |
|
|
Object Detection (SP)
|
100% |
6372
505.4 IPS |
|
|
Object Detection (HP)
|
100% |
11205
888.8 IPS |
|
|
Object Detection (Q)
|
94% |
11540
920.1 IPS |
|
|
Face Detection (SP)
|
100% |
19223
228.4 IPS |
|
|
Face Detection (HP)
|
100% |
34959
415.4 IPS |
|
|
Face Detection (Q)
|
100% |
33767
401.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27786
214.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52910
407.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
56230
439.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79113
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
163104
209.7 IPS |
|
|
Style Transfer (Q)
|
96% |
207809
268.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15478
571.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29747
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29000
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6916
119.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8458
145.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7661
132.4 IPS |
