iPad17,4
Geekbench AI Score
5334
Single Precision Score
41408
Half Precision Score
57453
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 02:19 AM |
| Views | 9 |
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% |
2255
419.3 IPS |
|
|
Image Classification (HP)
|
100% |
18295
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
24036
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24137
391.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33634
545.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11031
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178083
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328422
384.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
18378
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26369
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
46898
557.2 IPS |
|
|
Face Detection (Q)
|
100% |
66404
789.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110132
848.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176177
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27618
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
272732
350.6 IPS |
|
|
Style Transfer (Q)
|
96% |
372777
481.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62885
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99153
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
7058
9.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17663
304.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18341
316.9 IPS |
