iPad16,3
Geekbench AI Score
4730
Single Precision Score
35032
Half Precision Score
48160
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | asto18089 |
| Upload Date | September 07 2024 03:28 PM |
| Views | 13 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
17450
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24676
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16522
267.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20691
335.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123826
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232376
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
18162
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25905
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
41478
492.8 IPS |
|
|
Face Detection (Q)
|
100% |
60801
722.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98750
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168750
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25221
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170130
218.7 IPS |
|
|
Style Transfer (Q)
|
96% |
202922
261.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48791
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85520
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
7700
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
6694
8.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16402
282.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18325
316.7 IPS |
