iPhone 15 Pro
Geekbench AI Score
3861
Single Precision Score
6785
Half Precision Score
5501
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 04:23 PM |
| 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% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.2 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7742
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15861
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13838
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1769
140.3 IPS |
|
|
Object Detection (HP)
|
97% |
3346
266.3 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3771
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6785
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13112
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8908
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20369
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31298
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26630
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4295
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6045
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6050
104.6 IPS |
