iPad16,1
Geekbench AI Score
4027
Single Precision Score
25079
Half Precision Score
35482
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JohnnySun |
| Upload Date | October 31 2024 05:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
10857
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15590
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15959
258.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21033
341.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7798
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104464
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
205744
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
13732
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19123
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
34824
413.8 IPS |
|
|
Face Detection (Q)
|
100% |
52347
622.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7030
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
79146
609.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129292
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20734
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205178
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
252169
325.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34986
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58033
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3284
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3312
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6330
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7538
130.3 IPS |
