iPad17,1
Geekbench AI Score
12538
Single Precision Score
22647
Half Precision Score
22602
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 10:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6126
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10384
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9768
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9962
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15221
246.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16685
270.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37260
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89807
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105333
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
6293
499.2 IPS |
|
|
Object Detection (HP)
|
100% |
10699
848.7 IPS |
|
|
Object Detection (Q)
|
93% |
9636
768.7 IPS |
|
|
Face Detection (SP)
|
100% |
18218
216.5 IPS |
|
|
Face Detection (HP)
|
100% |
31804
377.9 IPS |
|
|
Face Detection (Q)
|
100% |
25888
307.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27291
210.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49813
383.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51203
399.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76334
98.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163457
210.1 IPS |
|
|
Style Transfer (Q)
|
96% |
199158
257.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15332
566.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30640
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27939
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5881
101.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5224
90.3 IPS |
