iPhone 15 Pro
Geekbench AI Score
3807
Single Precision Score
24436
Half Precision Score
34261
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | September 20 2024 06:41 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
11529
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
16396
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12957
210.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16015
259.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7243
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
101396
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203912
239.0 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
13781
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19084
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33728
400.8 IPS |
|
|
Face Detection (Q)
|
100% |
49630
589.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6752
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78699
606.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127014
993.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19742
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204364
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
249054
321.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34010
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56716
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3083
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7946
137.3 IPS |
