iPhone 15 Pro
Geekbench AI Score
3241
Single Precision Score
5545
Half Precision Score
4532
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1597
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2582
480.2 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2176
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4596
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
12347
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11099
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
2007
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5380
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3238
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6194
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11918
92.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8174
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17809
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28616
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24560
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5472
202.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3979
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3472
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3787
65.4 IPS |
