iPad17,1
Geekbench AI Score
5336
Single Precision Score
41260
Half Precision Score
57354
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 05:03 PM |
| Views | 4 |
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% |
2303
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
17999
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23371
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24076
390.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33548
543.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11363
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177767
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
332333
389.5 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
17905
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26686
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47036
558.9 IPS |
|
|
Face Detection (Q)
|
100% |
66772
793.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9143
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110245
849.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179343
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27316
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
270982
348.4 IPS |
|
|
Style Transfer (Q)
|
96% |
372538
480.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64448
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100022
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6463
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6739
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17714
305.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18422
318.4 IPS |
