iPad17,4
Geekbench AI Score
13408
Single Precision Score
24025
Half Precision Score
25335
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 05 2026 06:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5809
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
10154
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
10398
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9948
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15509
251.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16521
267.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37478
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90835
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
118342
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
6330
502.1 IPS |
|
|
Object Detection (HP)
|
100% |
11215
889.6 IPS |
|
|
Object Detection (Q)
|
94% |
11725
934.9 IPS |
|
|
Face Detection (SP)
|
100% |
18713
222.4 IPS |
|
|
Face Detection (HP)
|
100% |
34836
413.9 IPS |
|
|
Face Detection (Q)
|
100% |
33327
396.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27610
212.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51536
397.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
55630
434.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78636
101.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163221
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
207173
267.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15516
572.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29771
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28377
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6885
118.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8386
144.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7565
130.7 IPS |
