iPhone 15 Pro
Geekbench AI Score
3539
Single Precision Score
6509
Half Precision Score
5209
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:21 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% |
1073
199.6 IPS |
|
|
Image Classification (HP)
|
100% |
2642
491.3 IPS |
|
|
Image Classification (Q)
|
96% |
1965
366.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2240
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6272
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14566
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12567
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (HP)
|
97% |
3010
239.6 IPS |
|
|
Object Detection (Q)
|
94% |
2103
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3602
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6794
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13395
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9170
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20682
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31919
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27178
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4795
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4339
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5945
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5841
100.9 IPS |
