iPhone 15 Pro
Geekbench AI Score
5077
Single Precision Score
6069
Half Precision Score
5721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 27 2025 02:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.8 IPS |
|
|
Image Classification (Q)
|
96% |
2130
397.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4114
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13144
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14932
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14481
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
2857
226.6 IPS |
|
|
Object Detection (Q)
|
92% |
2545
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
6486
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8590
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
7050
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10976
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12410
95.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11368
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26954
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32878
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33617
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5618
207.5 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1387
24.0 IPS |
