iPhone 15 Pro
Geekbench AI Score
3836
Single Precision Score
6853
Half Precision Score
5568
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | August 20 2025 06:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1695
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.1 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3001
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7432
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15714
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13510
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3325
264.7 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3715
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6653
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12683
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8776
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20059
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32487
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26543
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4388
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5806
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5659
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
