iPad17,4
Geekbench AI Score
13250
Single Precision Score
23258
Half Precision Score
23247
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 02:01 PM |
| Views | 2 |
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% |
6177
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10221
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9757
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9932
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15124
245.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16608
269.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37158
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89391
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105206
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
6280
498.1 IPS |
|
|
Object Detection (HP)
|
100% |
10883
863.3 IPS |
|
|
Object Detection (Q)
|
93% |
9756
778.3 IPS |
|
|
Face Detection (SP)
|
100% |
18230
216.6 IPS |
|
|
Face Detection (HP)
|
100% |
32144
381.9 IPS |
|
|
Face Detection (Q)
|
100% |
26195
311.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27478
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50734
390.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51006
398.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77613
99.8 IPS |
|
|
Style Transfer (HP)
|
100% |
163434
210.1 IPS |
|
|
Style Transfer (Q)
|
96% |
199302
257.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15264
563.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30842
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28384
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6161
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6664
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6752
116.7 IPS |
