iPhone 15 Pro
Geekbench AI Score
3961
Single Precision Score
6960
Half Precision Score
5694
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | AllieWolfie |
| Upload Date | August 14 2025 08:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.8 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8192
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
17012
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14487
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
3279
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6991
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12764
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8958
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21611
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34636
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28437
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7358
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7179
124.1 IPS |
