iPad17,3
Geekbench AI Score
12665
Single Precision Score
22703
Half Precision Score
22713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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% |
6149
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10309
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9723
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9962
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15237
247.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16641
269.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37127
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89354
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105388
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
6293
499.1 IPS |
|
|
Object Detection (HP)
|
100% |
10824
858.6 IPS |
|
|
Object Detection (Q)
|
93% |
9832
784.4 IPS |
|
|
Face Detection (SP)
|
100% |
18294
217.4 IPS |
|
|
Face Detection (HP)
|
100% |
32002
380.3 IPS |
|
|
Face Detection (Q)
|
100% |
26043
309.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27512
212.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50252
387.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51300
400.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78113
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164147
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
198892
256.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15272
563.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30947
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28242
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6158
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5333
92.2 IPS |
