iPad14,6
Geekbench AI Score
3443
Single Precision Score
6004
Half Precision Score
4874
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | AlaskaJaxx |
| Upload Date | June 01 2025 10:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1395
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.6 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2787
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15101
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12920
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2813
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5584
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10928
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7679
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18662
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29013
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24002
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5090
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3703
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3798
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6416
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6443
111.3 IPS |
