iPad17,4
Geekbench AI Score
5259
Single Precision Score
41653
Half Precision Score
57573
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 02:05 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2266
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
18015
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24288
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24026
389.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32995
534.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11244
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
178156
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
329137
385.8 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18688
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27202
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
46589
553.6 IPS |
|
|
Face Detection (Q)
|
100% |
66365
788.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9013
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110906
854.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
182854
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27242
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
271079
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
373350
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5874
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66486
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96215
3.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6594
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6773
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5004
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17767
306.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18889
326.4 IPS |
