iPad17,4
Geekbench AI Score
5335
Single Precision Score
41311
Half Precision Score
57694
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2278
423.6 IPS |
|
|
Image Classification (HP)
|
100% |
18110
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24802
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24555
398.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33125
537.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177959
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
332750
390.0 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17872
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
27559
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46934
557.7 IPS |
|
|
Face Detection (Q)
|
100% |
66870
794.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110489
851.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
173403
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27607
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271714
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
372599
480.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63209
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99022
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6536
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6918
9.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5165
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17585
302.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18327
316.7 IPS |
