iPhone 15 Pro
Geekbench AI Score
3792
Single Precision Score
6687
Half Precision Score
5390
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dk0ch |
| Upload Date | September 19 2024 10:47 AM |
| Views | 2 |
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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2854
530.8 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6929
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
14852
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12603
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
97% |
3261
259.6 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6504
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3727
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6778
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13076
101.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8948
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20207
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31444
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26448
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4327
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6133
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6052
104.6 IPS |
