iPhone 15 Pro
Geekbench AI Score
4040
Single Precision Score
6916
Half Precision Score
5662
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | GBMann |
| Upload Date | December 12 2024 09:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
2890
537.5 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8852
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17471
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15067
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
97% |
3373
268.5 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6958
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7206
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13708
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9455
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22127
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32774
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27654
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5213
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4428
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5569
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6092
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6089
105.2 IPS |
