iPad17,4
Geekbench AI Score
5345
Single Precision Score
41266
Half Precision Score
57352
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 06 2026 08:17 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% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
17910
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
24838
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24417
395.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33196
538.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178115
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
332527
389.7 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
17689
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26290
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
47461
563.9 IPS |
|
|
Face Detection (Q)
|
100% |
66685
792.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9150
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110743
853.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173812
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27642
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271857
349.5 IPS |
|
|
Style Transfer (Q)
|
96% |
372150
480.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63202
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99580
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6798
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17681
304.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18295
316.2 IPS |
