iPhone 15 Pro
Geekbench AI Score
3978
Single Precision Score
6860
Half Precision Score
5611
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:06 PM |
| Views | 1 |
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% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3091
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8107
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
16490
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14337
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
97% |
3356
267.2 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6821
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3889
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7018
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13563
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9271
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21244
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32356
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27392
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4412
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6109
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6132
106.0 IPS |
