iPad17,4
Geekbench AI Score
12670
Single Precision Score
22705
Half Precision Score
22741
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MikeM3 |
| Upload Date | October 23 2025 07:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6140
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10334
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9707
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9947
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15178
246.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16667
270.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37237
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89670
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105478
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
6267
497.1 IPS |
|
|
Object Detection (HP)
|
100% |
10881
863.1 IPS |
|
|
Object Detection (Q)
|
93% |
9668
771.3 IPS |
|
|
Face Detection (SP)
|
100% |
18048
214.5 IPS |
|
|
Face Detection (HP)
|
100% |
31770
377.5 IPS |
|
|
Face Detection (Q)
|
100% |
25900
307.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27550
212.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50818
391.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51270
400.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78354
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164078
210.9 IPS |
|
|
Style Transfer (Q)
|
96% |
200501
258.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15231
562.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30904
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28996
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6185
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5354
92.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5322
92.0 IPS |
