iPad13,17
Geekbench AI Score
3182
Single Precision Score
15655
Half Precision Score
15340
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 10:59 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
6028
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5796
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9663
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10094
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6483
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68851
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66975
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
99% |
7241
576.0 IPS |
|
|
Object Detection (Q)
|
91% |
6700
535.3 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16337
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
15062
179.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47469
365.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47688
372.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120607
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112005
144.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22954
847.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23720
875.9 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3640
62.9 IPS |
