iPhone 14 Pro
Geekbench AI Score
3898
Single Precision Score
4264
Half Precision Score
3704
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1606
298.7 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.4 IPS |
|
|
Image Classification (Q)
|
97% |
1393
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11758
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12379
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11401
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
1892
150.1 IPS |
|
|
Object Detection (Q)
|
91% |
1485
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
5264
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
5869
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
4013
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8479
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8807
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6852
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21241
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23766
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21918
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4780
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3873
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4674
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4568
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
787
13.6 IPS |
