iPhone 15 Pro
Geekbench AI Score
3785
Single Precision Score
6683
Half Precision Score
5440
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1654
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
2908
540.9 IPS |
|
|
Image Classification (Q)
|
96% |
1949
364.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7204
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15103
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13429
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
97% |
3262
259.7 IPS |
|
|
Object Detection (Q)
|
94% |
2298
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6344
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
3547
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6740
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13175
101.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8938
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20044
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31221
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26486
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5763
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4316
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5513
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6063
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6132
106.0 IPS |
