iPad17,1
Geekbench AI Score
5362
Single Precision Score
41356
Half Precision Score
57716
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 08:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
17918
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
24990
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24368
395.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33480
542.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11380
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177183
206.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
333629
391.0 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
18150
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26502
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
46866
556.9 IPS |
|
|
Face Detection (Q)
|
100% |
67153
797.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9163
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111433
858.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
175286
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27594
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271583
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
372469
480.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64382
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99653
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6455
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6887
9.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17683
304.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18429
318.5 IPS |
