iPad17,4
Geekbench AI Score
5356
Single Precision Score
41407
Half Precision Score
57259
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 13 2026 11:53 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| 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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
18184
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24027
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24181
392.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33550
543.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11341
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178314
208.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
328408
384.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
17990
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26201
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
47771
567.6 IPS |
|
|
Face Detection (Q)
|
100% |
66684
792.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110830
853.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
174174
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27456
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271415
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
371138
478.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63081
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100502
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6560
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6864
9.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17666
304.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18369
317.4 IPS |
