iPad13,17
Geekbench AI Score
3233
Single Precision Score
16270
Half Precision Score
15999
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 03:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
6148
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5796
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9706
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9993
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67017
78.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65922
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7212
573.7 IPS |
|
|
Object Detection (Q)
|
91% |
6690
534.6 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16375
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
15206
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47121
363.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47543
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17104
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120116
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111760
144.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23029
850.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23636
872.8 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5834
100.8 IPS |
