iPad14,11
Geekbench AI Score
5918
Single Precision Score
6601
Half Precision Score
5946
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stiltskein |
| Upload Date | September 18 2024 07:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2929
544.8 IPS |
|
|
Image Classification (HP)
|
100% |
3016
560.9 IPS |
|
|
Image Classification (Q)
|
97% |
2214
413.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3821
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4561
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4498
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22333
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23771
27.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21706
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2987
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
3059
242.6 IPS |
|
|
Object Detection (Q)
|
91% |
2457
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
9589
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
10785
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
7467
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15344
118.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16365
126.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12845
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38273
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43606
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40709
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8008
295.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8637
318.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6472
239.0 IPS |
|
|
Text Classification (SP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1139
19.7 IPS |
