iPad14,6
Geekbench AI Score
3463
Single Precision Score
5957
Half Precision Score
4839
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ProGoDawg |
| Upload Date | December 04 2024 03:40 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2864
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6898
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14802
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12826
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2084
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6229
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11524
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8006
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18876
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28590
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24087
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3600
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3680
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5705
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5726
98.9 IPS |
