iPad16,3
Geekbench AI Score
4709
Single Precision Score
35192
Half Precision Score
49267
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | September 22 2024 08:09 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
17368
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24204
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16505
267.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20855
338.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123593
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232112
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
18089
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25706
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41489
493.0 IPS |
|
|
Face Detection (Q)
|
100% |
60318
716.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100017
770.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168953
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25136
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235782
303.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298687
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47979
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84716
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16413
282.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17901
309.4 IPS |
