iPhone 15 Pro
Geekbench AI Score
3995
Single Precision Score
6883
Half Precision Score
5631
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:03 PM |
| 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% |
1727
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
2925
543.9 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3112
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8202
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
16510
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14433
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3368
268.2 IPS |
|
|
Object Detection (Q)
|
94% |
2376
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6869
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7190
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13556
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9367
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21301
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32601
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27481
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4887
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5824
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4388
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6153
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6133
106.0 IPS |
