iPad17,4
Geekbench AI Score
13435
Single Precision Score
23948
Half Precision Score
25357
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | HoukCC |
| Upload Date | March 08 2026 05:37 AM |
| Views | 7 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6034
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10225
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
10371
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9938
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15303
248.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16491
267.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37297
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89103
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
117475
137.7 IPS |
|
|
Object Detection (SP)
|
100% |
6328
501.9 IPS |
|
|
Object Detection (HP)
|
100% |
11226
890.5 IPS |
|
|
Object Detection (Q)
|
94% |
11708
933.6 IPS |
|
|
Face Detection (SP)
|
100% |
18887
224.4 IPS |
|
|
Face Detection (HP)
|
100% |
34810
413.6 IPS |
|
|
Face Detection (Q)
|
100% |
33605
399.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27524
212.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51387
395.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
55519
433.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78481
100.9 IPS |
|
|
Style Transfer (HP)
|
100% |
163189
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
206690
266.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15335
566.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29593
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28511
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6923
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8459
145.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7679
132.7 IPS |
