iPhone 14 Plus
Geekbench AI Score
3121
Single Precision Score
3436
Half Precision Score
2808
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | August 16 2024 03:25 AM |
| Views | 3 |
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% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
1199
222.9 IPS |
|
|
Image Classification (Q)
|
99% |
940
175.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2510
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11288
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12350
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11130
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
91% |
1218
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
4064
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8318
64.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
1328
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18973
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22881
29.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23155
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3671
135.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3013
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
98% |
616
10.7 IPS |
