iPhone 14 Plus
Geekbench AI Score
2962
Single Precision Score
3391
Half Precision Score
3030
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 06 2024 12:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (Q)
|
97% |
592
110.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11288
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12300
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11075
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (Q)
|
91% |
1163
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8222
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8439
65.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6880
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18690
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22526
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21274
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2946
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3894
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
515
8.89 IPS |
