iPhone 15 Pro
Geekbench AI Score
5085
Single Precision Score
5988
Half Precision Score
5462
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1890
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (Q)
|
96% |
1553
290.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4226
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4092
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13486
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14339
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13844
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (Q)
|
92% |
2459
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
6408
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
8527
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6800
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11143
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12109
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11165
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28175
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33163
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31603
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5800
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5598
206.7 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1450
25.1 IPS |
