iPhone 15 Pro
Geekbench AI Score
3994
Single Precision Score
6925
Half Precision Score
5636
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8393
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
16890
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14545
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.7 IPS |
|
|
Object Detection (HP)
|
97% |
3374
268.6 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6871
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7097
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13534
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9359
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21569
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33270
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27601
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4338
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6161
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6133
106.0 IPS |
