iPhone 15 Pro
Geekbench AI Score
3950
Single Precision Score
6828
Half Precision Score
5602
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:06 AM |
| 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% |
1730
321.8 IPS |
|
|
Image Classification (HP)
|
100% |
2908
540.9 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3091
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8125
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16267
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14244
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3353
266.9 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6845
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3895
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6917
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13439
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9309
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21079
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32314
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27376
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4884
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4349
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6116
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6209
107.3 IPS |
