iPad14,9
Geekbench AI Score
5789
Single Precision Score
6556
Half Precision Score
5934
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad14,9 |
| Model ID | iPad14,9 |
| Motherboard | J508AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2921
543.2 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (Q)
|
97% |
2280
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3831
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4562
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4510
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22366
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23792
27.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
21718
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
3064
243.1 IPS |
|
|
Object Detection (HP)
|
100% |
3160
250.6 IPS |
|
|
Object Detection (Q)
|
91% |
2471
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
9606
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
10887
129.4 IPS |
|
|
Face Detection (Q)
|
100% |
7531
89.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15359
118.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16365
126.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12736
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38225
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43621
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40729
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8094
298.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8427
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6438
237.7 IPS |
|
|
Text Classification (SP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3630
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1075
18.6 IPS |
