iPad17,1
Geekbench AI Score
5114
Single Precision Score
42184
Half Precision Score
59807
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.24 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2200
409.2 IPS |
|
|
Image Classification (HP)
|
100% |
18531
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
27478
5.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24442
396.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32863
532.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9994
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
176132
205.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
314390
368.5 IPS |
|
|
Object Detection (SP)
|
100% |
2546
201.9 IPS |
|
|
Object Detection (HP)
|
100% |
19794
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
28095
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
47207
560.9 IPS |
|
|
Face Detection (Q)
|
100% |
66516
790.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9041
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112562
867.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
195258
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
24485
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
255883
328.9 IPS |
|
|
Style Transfer (Q)
|
96% |
375073
484.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63948
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103524
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
7164
9.56 KIPS |
|
|
Text Classification (Q)
|
93% |
7612
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
18143
312.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19124
330.5 IPS |
