iPhone 15 Pro
Geekbench AI Score
2725
Single Precision Score
13128
Half Precision Score
8770
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ChanceLP |
| Upload Date | February 11 2025 08:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
5933
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
7144
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5254
85.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9816
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7349
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
88076
102.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
139920
164.0 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
8024
636.5 IPS |
|
|
Object Detection (Q)
|
93% |
9471
755.7 IPS |
|
|
Face Detection (SP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
11148
132.5 IPS |
|
|
Face Detection (Q)
|
100% |
704
8.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
4625
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40466
311.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
52573
411.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12402
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
127575
164.0 IPS |
|
|
Style Transfer (Q)
|
25% |
5743
160.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17874
660.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21302
786.6 IPS |
|
|
Text Classification (SP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (HP)
|
71% |
2650
3.81 KIPS |
|
|
Text Classification (Q)
|
69% |
2550
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2509
43.4 IPS |
