iPad13,19
Geekbench AI Score
2770
Single Precision Score
12561
Half Precision Score
12440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eldavido |
| Upload Date | December 22 2024 02:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1213
225.6 IPS |
|
|
Image Classification (HP)
|
100% |
4415
821.0 IPS |
|
|
Image Classification (Q)
|
96% |
4760
888.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8133
131.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8532
138.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5640
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
59922
69.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
60117
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
99% |
5819
462.9 IPS |
|
|
Object Detection (Q)
|
91% |
5007
400.1 IPS |
|
|
Face Detection (SP)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
13913
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
12020
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5036
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36547
281.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
35990
281.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14558
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96648
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
94130
121.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3198
118.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18692
690.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19291
712.3 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2242
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3782
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4125
71.3 IPS |
