iPad14,6
Geekbench AI Score
3428
Single Precision Score
5898
Half Precision Score
4765
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sietec |
| Upload Date | February 24 2025 11:36 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.6 IPS |
|
|
Image Classification (Q)
|
96% |
1676
313.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14711
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12679
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2872
228.7 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6150
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3547
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5658
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11556
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8070
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18835
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28557
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23646
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3548
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2169
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3532
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5729
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5728
99.0 IPS |
