iPad17,4
Geekbench AI Score
5344
Single Precision Score
41154
Half Precision Score
57571
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 04:34 AM |
| Views | 5 |
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% |
2301
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
18122
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24849
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24131
391.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33630
545.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11025
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178286
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
328627
385.2 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
17932
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26311
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
47153
560.3 IPS |
|
|
Face Detection (Q)
|
100% |
66642
791.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9120
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110218
849.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173952
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27645
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271082
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
372034
480.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63113
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100149
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
7011
9.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17580
302.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18282
315.9 IPS |
