iPad17,4
Geekbench AI Score
13349
Single Precision Score
23388
Half Precision Score
23437
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 08 2026 03:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6125
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10085
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9481
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9966
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15451
250.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16846
273.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37616
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90814
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106546
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
6324
501.6 IPS |
|
|
Object Detection (HP)
|
100% |
10928
866.8 IPS |
|
|
Object Detection (Q)
|
93% |
9891
789.1 IPS |
|
|
Face Detection (SP)
|
100% |
18458
219.3 IPS |
|
|
Face Detection (HP)
|
100% |
32403
385.0 IPS |
|
|
Face Detection (Q)
|
100% |
26669
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27729
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51249
394.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51830
404.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78743
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
165380
212.6 IPS |
|
|
Style Transfer (Q)
|
96% |
202416
261.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15520
573.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30657
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28932
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6180
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6728
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6695
115.7 IPS |
