iPad17,4
Geekbench AI Score
13366
Single Precision Score
23424
Half Precision Score
23541
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 06 2026 04:47 AM |
| Views | 7 |
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% |
6172
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10353
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9724
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9943
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15419
249.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16802
272.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37676
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90902
106.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106535
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
6318
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10906
865.1 IPS |
|
|
Object Detection (Q)
|
93% |
9919
791.3 IPS |
|
|
Face Detection (SP)
|
100% |
18477
219.6 IPS |
|
|
Face Detection (HP)
|
100% |
32414
385.1 IPS |
|
|
Face Detection (Q)
|
100% |
26588
315.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27735
213.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51031
393.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51788
404.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78719
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164895
212.0 IPS |
|
|
Style Transfer (Q)
|
96% |
203197
262.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15597
575.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30471
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29043
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6183
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6761
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6724
116.2 IPS |
