iPhone 15 Pro
Geekbench AI Score
3687
Single Precision Score
6803
Half Precision Score
5561
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 27 2025 02:35 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1587
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.8 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3014
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7356
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14936
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13847
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6495
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3704
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6597
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12411
95.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8242
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18425
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31392
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26234
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6054
223.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5766
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5803
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7136
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7087
122.5 IPS |
