iPad14,6
Geekbench AI Score
3447
Single Precision Score
5948
Half Precision Score
5209
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | GeekinWitDaBench |
| Upload Date | August 17 2024 02:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.7 IPS |
|
|
Image Classification (Q)
|
99% |
2504
467.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2439
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6895
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14964
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12809
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2853
227.1 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3536
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5639
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11551
89.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
11621
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18755
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28527
36.7 IPS |
|
|
Style Transfer (Q)
|
100% |
28612
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3542
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5747
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5779
99.9 IPS |
