iPad17,4
Geekbench AI Score
12702
Single Precision Score
22750
Half Precision Score
22755
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
6165
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10324
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9805
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9945
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15084
244.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16646
269.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37222
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89358
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105185
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
6267
497.1 IPS |
|
|
Object Detection (HP)
|
100% |
10847
860.4 IPS |
|
|
Object Detection (Q)
|
93% |
9784
780.6 IPS |
|
|
Face Detection (SP)
|
100% |
18036
214.3 IPS |
|
|
Face Detection (HP)
|
100% |
31923
379.3 IPS |
|
|
Face Detection (Q)
|
100% |
25943
308.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27457
211.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50715
390.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
51075
398.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78274
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
164362
211.3 IPS |
|
|
Style Transfer (Q)
|
96% |
199867
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15535
573.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30927
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28377
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6173
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5336
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5343
92.3 IPS |
