iPhone 15 Pro
Geekbench AI Score
5045
Single Precision Score
6146
Half Precision Score
5400
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
2999
557.7 IPS |
|
|
Image Classification (Q)
|
97% |
2143
399.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3742
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3827
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13453
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14377
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13404
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
2823
223.9 IPS |
|
|
Object Detection (Q)
|
91% |
2403
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
6226
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
8585
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
6101
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11077
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11828
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10253
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27859
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32403
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30908
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6223
229.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6499
240.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5105
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5700
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1448
25.0 IPS |
