iPhone 15 Pro
Geekbench AI Score
3917
Single Precision Score
6915
Half Precision Score
5664
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 03:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1703
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7854
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
16096
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13993
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3328
264.9 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3810
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6827
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12899
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8957
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20684
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33451
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27645
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5653
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5626
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7078
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7050
121.8 IPS |
