iPad16,3
Geekbench AI Score
4735
Single Precision Score
36471
Half Precision Score
51556
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 03 2024 10:20 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
16655
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
24940
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21958
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30506
494.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10092
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123646
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231860
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
18143
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25919
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43309
514.6 IPS |
|
|
Face Detection (Q)
|
100% |
62669
744.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99146
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167299
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25105
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233969
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298306
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48673
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83720
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6209
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16281
280.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17850
308.5 IPS |
