iPad13,18
Geekbench AI Score
2539
Single Precision Score
4122
Half Precision Score
3602
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 12:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| 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% |
1174
218.4 IPS |
|
|
Image Classification (HP)
|
100% |
1839
342.0 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2085
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4852
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
9858
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9050
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (HP)
|
97% |
2079
165.5 IPS |
|
|
Object Detection (Q)
|
94% |
1524
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
2332
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
2487
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4589
35.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8840
68.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6368
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12197
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20644
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17927
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2648
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2643
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2862
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3502
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2913
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3316
57.3 IPS |
