iPad17,3
Geekbench AI Score
5338
Single Precision Score
41333
Half Precision Score
57664
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
17953
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23146
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24390
395.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33877
549.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178066
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
332744
390.0 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
18085
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26589
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47099
559.6 IPS |
|
|
Face Detection (Q)
|
100% |
66445
789.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9103
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111857
861.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
195453
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
27448
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272401
350.2 IPS |
|
|
Style Transfer (Q)
|
96% |
367158
473.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62967
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99237
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
6426
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6761
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17778
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18316
316.5 IPS |
