iPad16,1
Geekbench AI Score
3959
Single Precision Score
25075
Half Precision Score
35175
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | darios |
| Upload Date | December 14 2024 11:08 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
10916
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15795
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15856
257.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20933
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7438
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
105329
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
206804
242.4 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
13871
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18800
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
34445
409.3 IPS |
|
|
Face Detection (Q)
|
100% |
51131
607.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6970
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78156
602.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127768
998.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20586
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205375
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
252416
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4913
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34248
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54237
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3301
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6244
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7642
132.1 IPS |
