iPhone 15 Pro
Geekbench AI Score
3952
Single Precision Score
6809
Half Precision Score
5928
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2024 03:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.4 IPS |
|
|
Image Classification (Q)
|
99% |
2900
541.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2384
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7974
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
16279
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14190
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
97% |
3357
267.3 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6734
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3838
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7066
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13597
105.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13485
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20969
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32077
41.2 IPS |
|
|
Style Transfer (Q)
|
100% |
31309
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4330
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6108
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6107
105.5 IPS |
