iPad17,1
Geekbench AI Score
13241
Single Precision Score
23218
Half Precision Score
23412
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:27 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.38 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6121
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10334
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9666
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9962
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15167
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16702
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37323
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89421
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105557
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
6309
500.5 IPS |
|
|
Object Detection (HP)
|
100% |
10927
866.7 IPS |
|
|
Object Detection (Q)
|
93% |
9941
793.1 IPS |
|
|
Face Detection (SP)
|
100% |
18398
218.6 IPS |
|
|
Face Detection (HP)
|
100% |
32356
384.5 IPS |
|
|
Face Detection (Q)
|
100% |
26225
311.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27574
212.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50672
390.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
51860
404.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77797
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164157
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
200264
258.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15390
568.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30584
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28557
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5693
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6060
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6556
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6598
114.0 IPS |
