iPad16,3
Geekbench AI Score
4714
Single Precision Score
36530
Half Precision Score
51403
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 04:10 AM |
| Views | 2 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
17173
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24566
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22126
358.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30527
494.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10087
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123431
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233025
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
100% |
18588
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25842
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43572
517.7 IPS |
|
|
Face Detection (Q)
|
100% |
62951
748.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98697
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
171949
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25129
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232420
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298796
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49530
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84592
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5790
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18006
311.2 IPS |
