iPad17,4
Geekbench AI Score
13362
Single Precision Score
23346
Half Precision Score
23478
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 11 2026 03:45 AM |
| Views | 6 |
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% |
6115
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10075
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
9353
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9969
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15536
251.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16836
272.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37768
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
90865
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106558
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
6331
502.2 IPS |
|
|
Object Detection (HP)
|
100% |
10952
868.7 IPS |
|
|
Object Detection (Q)
|
93% |
9932
792.3 IPS |
|
|
Face Detection (SP)
|
100% |
18472
219.5 IPS |
|
|
Face Detection (HP)
|
100% |
32380
384.7 IPS |
|
|
Face Detection (Q)
|
100% |
26667
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27712
213.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51204
394.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51946
405.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78893
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164978
212.1 IPS |
|
|
Style Transfer (Q)
|
96% |
202513
261.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15566
574.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30539
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29447
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6170
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6742
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6789
117.3 IPS |
