iPhone 15 Pro
Geekbench AI Score
3831
Single Precision Score
6804
Half Precision Score
5538
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 27 2025 06:36 AM |
| Views | 29 |
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% |
1676
311.6 IPS |
|
|
Image Classification (HP)
|
100% |
2986
555.3 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2897
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7218
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
14209
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12390
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
97% |
3244
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6582
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3754
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6617
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12688
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8915
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20288
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32457
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27197
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5764
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5797
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6944
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
