iPad13,19
Geekbench AI Score
2677
Single Precision Score
4494
Half Precision Score
3764
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 12:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad13,19 |
| Model ID | iPad13,19 |
| Motherboard | J272AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
1890
351.6 IPS |
|
|
Image Classification (Q)
|
96% |
1354
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2165
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5443
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
10914
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9723
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
97% |
2136
170.0 IPS |
|
|
Object Detection (Q)
|
94% |
1557
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2638
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4916
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9672
74.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6675
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13664
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22506
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19345
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2919
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3006
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3211
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3537
61.1 IPS |
