iPad13,17
Geekbench AI Score
3233
Single Precision Score
5330
Half Precision Score
4389
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 03:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13941
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12053
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2447
194.8 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5599
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3225
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11053
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7668
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17150
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26317
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22066
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4456
164.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3400
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4009
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4187
72.4 IPS |
