iPad17,3
Geekbench AI Score
5305
Single Precision Score
41053
Half Precision Score
57208
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gemino |
| Upload Date | November 25 2025 12:58 PM |
| Views | 7 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
17992
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24140
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23929
387.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33237
538.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11311
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178071
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
333034
390.3 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
17969
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26407
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46910
557.4 IPS |
|
|
Face Detection (Q)
|
100% |
66774
793.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9144
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111138
856.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176899
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27439
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271423
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
371651
479.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63005
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99432
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
6245
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6587
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17729
305.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18508
319.8 IPS |
