iPhone 15 Pro
Geekbench AI Score
3954
Single Precision Score
6975
Half Precision Score
5714
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1709
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3044
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8213
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
16570
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14392
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
97% |
3323
264.5 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6820
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3848
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6867
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12883
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9010
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21218
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34027
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28176
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4405
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7064
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7037
121.6 IPS |
