iPad16,5
Geekbench AI Score
4692
Single Precision Score
35241
Half Precision Score
49313
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:19 AM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
17114
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23139
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16316
264.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20672
335.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123150
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230271
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
100% |
18381
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25831
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
41267
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
61314
728.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98734
760.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167913
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231915
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297032
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5835
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49670
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86992
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6057
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6250
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3843
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17977
310.7 IPS |
