iPad14,8
Geekbench AI Score
3458
Single Precision Score
5914
Half Precision Score
5176
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 01:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2494
463.7 IPS |
|
|
Image Classification (Q)
|
99% |
2476
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2434
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6896
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14810
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12632
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2886
229.7 IPS |
|
|
Object Detection (Q)
|
94% |
2080
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3548
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5705
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11624
89.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
11614
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19028
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28432
36.5 IPS |
|
|
Style Transfer (Q)
|
100% |
28530
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3530
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3654
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5730
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5757
99.5 IPS |
