iPhone 15 Pro
Geekbench AI Score
4025
Single Precision Score
6900
Half Precision Score
5643
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3097
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8523
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17163
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14778
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
97% |
3388
269.8 IPS |
|
|
Object Detection (Q)
|
94% |
2366
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6900
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13707
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9429
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21771
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32757
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27676
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4380
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6107
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6077
105.0 IPS |
