iPhone 15 Pro
Geekbench AI Score
4034
Single Precision Score
7054
Half Precision Score
5765
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 07 2025 05:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2964
551.2 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8557
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
17254
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14865
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3338
265.8 IPS |
|
|
Object Detection (Q)
|
94% |
2376
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6833
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3860
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7143
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12834
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9027
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22070
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35044
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28869
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5921
218.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4487
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5901
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7011
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
