iPad17,4
Geekbench AI Score
5332
Single Precision Score
8645
Half Precision Score
6853
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 31 2026 04:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2294
426.6 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.2 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3414
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3722
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11010
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20967
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17892
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.0 IPS |
|
|
Object Detection (HP)
|
97% |
4222
336.1 IPS |
|
|
Object Detection (Q)
|
94% |
2937
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
4781
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8504
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4774
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9168
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15261
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10586
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27473
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41455
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33845
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7311
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5148
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5165
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9596
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9538
164.8 IPS |
