iPhone 15 Pro
Geekbench AI Score
5043
Single Precision Score
5958
Half Precision Score
5273
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
2332
433.8 IPS |
|
|
Image Classification (Q)
|
97% |
2009
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3749
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3731
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13293
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14082
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13341
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
2797
221.9 IPS |
|
|
Object Detection (Q)
|
91% |
2351
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
6328
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
8421
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
6062
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10923
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11719
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10325
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27238
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32586
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30492
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6354
234.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1344
23.2 IPS |
