iPhone 15 Pro
Geekbench AI Score
3841
Single Precision Score
7001
Half Precision Score
5731
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | davidsamson |
| Upload Date | November 02 2025 06:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1582
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7699
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
16980
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14645
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
97% |
3296
262.4 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6857
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3864
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6848
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12777
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8989
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21417
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34072
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27964
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4437
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7489
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7389
127.7 IPS |
