iPhone 15 Pro
Geekbench AI Score
3912
Single Precision Score
24994
Half Precision Score
34886
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
10833
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15135
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15792
256.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20619
334.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8101
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
107474
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204861
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
13844
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18744
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
34021
404.2 IPS |
|
|
Face Detection (Q)
|
100% |
50283
597.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6926
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78296
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
125837
983.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21025
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204027
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
246630
318.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34082
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55499
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3219
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6480
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7994
138.1 IPS |
