iPad16,5
Geekbench AI Score
4815
Single Precision Score
35142
Half Precision Score
49099
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1990
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
17104
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23359
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16304
264.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20435
331.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122815
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230809
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
18271
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26146
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
41634
494.7 IPS |
|
|
Face Detection (Q)
|
100% |
60875
723.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8282
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98344
757.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167401
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25056
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
226530
291.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296400
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49162
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84093
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6123
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6207
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17930
309.8 IPS |
