iPad mini iPad16,1
Geekbench AI Score
3904
Single Precision Score
4117
Half Precision Score
4181
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 10 2024 02:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1024
190.4 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (Q)
|
97% |
1142
213.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3454
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13129
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13628
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12849
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
1919
152.3 IPS |
|
|
Object Detection (Q)
|
91% |
1339
107.0 IPS |
|
|
Face Detection (SP)
|
100% |
5855
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
5077
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
5360
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10613
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11117
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9474
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27845
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31726
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30119
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4757
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4185
154.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4806
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5720
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5721
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
98% |
573
9.91 IPS |
