iPad17,3
Geekbench AI Score
12601
Single Precision Score
22558
Half Precision Score
22991
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gmn17 |
| Upload Date | October 25 2025 05:33 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6128
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10308
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9703
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9929
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15127
245.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16610
269.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37084
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89308
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105250
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
6229
494.1 IPS |
|
|
Object Detection (HP)
|
100% |
10729
851.1 IPS |
|
|
Object Detection (Q)
|
93% |
9539
761.0 IPS |
|
|
Face Detection (SP)
|
100% |
18202
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
31696
376.6 IPS |
|
|
Face Detection (Q)
|
100% |
25931
308.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27483
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50334
387.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
50871
397.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77950
100.2 IPS |
|
|
Style Transfer (HP)
|
100% |
163043
209.6 IPS |
|
|
Style Transfer (Q)
|
96% |
199069
256.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15179
560.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30737
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28339
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
5428
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6471
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6028
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5263
90.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5296
91.5 IPS |
