iPhone 15 Pro
Geekbench AI Score
3984
Single Precision Score
6930
Half Precision Score
5628
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | lumisade |
| Upload Date | November 02 2024 08:57 AM |
| Views | 17 |
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% |
1737
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8101
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
16512
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14397
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3388
269.7 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6853
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3900
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7105
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13572
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9370
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21262
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34026
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27488
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5820
214.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4460
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5743
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6103
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6130
105.9 IPS |
