iPad16,2
Geekbench AI Score
4060
Single Precision Score
25258
Half Precision Score
35332
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1746
324.7 IPS |
|
|
Image Classification (HP)
|
100% |
10684
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15269
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15919
258.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21206
343.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7982
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
107931
125.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204402
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
13918
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19227
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
34884
414.5 IPS |
|
|
Face Detection (Q)
|
100% |
50787
603.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7221
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
79225
610.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
129964
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21313
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204609
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
253020
326.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5070
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34421
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60303
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3238
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3326
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6330
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7306
126.3 IPS |
