iPhone 15 Pro
Geekbench AI Score
3926
Single Precision Score
6792
Half Precision Score
5569
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:56 AM |
| 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% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
2924
543.8 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7971
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
16293
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14182
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
3319
264.2 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6659
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3812
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6773
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13333
103.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9215
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20968
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32139
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27142
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4406
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6108
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6109
105.6 IPS |
