iPad17,4
Geekbench AI Score
5355
Single Precision Score
41252
Half Precision Score
57734
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 08 2026 03:34 AM |
| Views | 6 |
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% |
2271
422.3 IPS |
|
|
Image Classification (HP)
|
100% |
18184
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24987
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24145
391.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33295
539.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11396
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178248
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
328951
385.6 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
17878
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26260
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4823
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
47032
558.8 IPS |
|
|
Face Detection (Q)
|
100% |
66806
793.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9138
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110075
848.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
185506
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27465
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271718
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
368684
475.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62803
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99952
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6519
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6788
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5205
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17711
305.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18469
319.2 IPS |
