iPad17,4
Geekbench AI Score
12205
Single Precision Score
21906
Half Precision Score
22172
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pure-spirit |
| Upload Date | October 23 2025 05:40 AM |
| Views | 4 |
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 | 4.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5770
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
9206
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
8730
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9898
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15227
246.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16689
270.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37238
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89270
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106132
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
6237
494.7 IPS |
|
|
Object Detection (HP)
|
100% |
10497
832.6 IPS |
|
|
Object Detection (Q)
|
93% |
9597
765.6 IPS |
|
|
Face Detection (SP)
|
100% |
18019
214.1 IPS |
|
|
Face Detection (HP)
|
100% |
31427
373.4 IPS |
|
|
Face Detection (Q)
|
100% |
25723
305.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27444
211.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50172
386.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51251
400.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77965
100.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164314
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
199446
257.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15459
570.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28462
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27960
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5400
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5306
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4960
85.7 IPS |
