iPad17,4
Geekbench AI Score
5230
Single Precision Score
41571
Half Precision Score
58240
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pure-spirit |
| Upload Date | October 23 2025 05:36 AM |
| Views | 4 |
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 | 4.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
18667
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
27035
5.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24677
400.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33975
550.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10914
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
177762
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
330400
387.2 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
18443
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26196
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
46483
552.3 IPS |
|
|
Face Detection (Q)
|
100% |
65817
782.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9037
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112343
865.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
192683
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
27379
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
272028
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373816
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5934
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64757
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101278
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5044
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17858
307.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18679
322.8 IPS |
