iPad17,1
Geekbench AI Score
5309
Single Precision Score
41339
Half Precision Score
57744
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:41 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% |
2289
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
18152
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24234
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23979
388.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32934
533.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11006
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177867
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
333823
391.3 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18351
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26711
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4723
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
47091
559.5 IPS |
|
|
Face Detection (Q)
|
100% |
67640
803.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9068
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111292
857.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
178688
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27469
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271343
348.8 IPS |
|
|
Style Transfer (Q)
|
96% |
373379
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63062
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99755
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6979
9.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5108
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17673
304.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18435
318.6 IPS |
