iPad17,4
Geekbench AI Score
13316
Single Precision Score
23407
Half Precision Score
23475
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 05:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6132
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10104
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9798
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9988
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15448
250.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16758
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37755
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
91285
106.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106133
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
6301
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
10923
866.4 IPS |
|
|
Object Detection (Q)
|
93% |
9818
783.3 IPS |
|
|
Face Detection (SP)
|
100% |
18171
215.9 IPS |
|
|
Face Detection (HP)
|
100% |
32393
384.9 IPS |
|
|
Face Detection (Q)
|
100% |
26159
310.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27667
213.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51337
395.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51824
404.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78359
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164475
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
202372
261.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15553
574.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30690
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29165
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6173
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6730
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6841
118.2 IPS |
