iPad16,5
Geekbench AI Score
4563
Single Precision Score
35599
Half Precision Score
51246
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rinsxi |
| Upload Date | October 31 2024 02:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1909
355.1 IPS |
|
|
Image Classification (HP)
|
100% |
17716
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
24851
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20509
332.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30408
492.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9743
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122381
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
220470
258.4 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
15829
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
26765
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
43337
514.9 IPS |
|
|
Face Detection (Q)
|
100% |
62700
745.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99173
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167660
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25015
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234248
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296965
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48651
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83175
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5797
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16357
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18243
315.3 IPS |
