iPad14,11
Geekbench AI Score
3454
Single Precision Score
22379
Half Precision Score
24102
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
14375
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
14633
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9840
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10947
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
102261
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104487
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
15033
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16166
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
31609
375.6 IPS |
|
|
Face Detection (Q)
|
100% |
39464
468.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5634
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84774
653.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
105317
823.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18779
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
153893
197.8 IPS |
|
|
Style Transfer (Q)
|
96% |
149867
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40777
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46024
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3652
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2360
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2350
40.6 IPS |
