iPhone 14 Pro
Geekbench AI Score
3164
Single Precision Score
3334
Half Precision Score
3097
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | August 15 2024 09:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1554
289.0 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.7 IPS |
|
|
Image Classification (Q)
|
99% |
1609
300.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2493
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11519
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12242
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11036
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1909
151.4 IPS |
|
|
Object Detection (HP)
|
100% |
1874
148.7 IPS |
|
|
Object Detection (Q)
|
92% |
1473
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
5202
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
5883
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3805
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8794
67.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
8887
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20737
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23441
30.1 IPS |
|
|
Style Transfer (Q)
|
100% |
23261
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3779
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.0 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.6 IPS |
|
|
Text Classification (Q)
|
93% |
288
386.0 IPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1458
25.2 IPS |
