iPhone 15 Pro
Geekbench AI Score
3419
Single Precision Score
6071
Half Precision Score
4926
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Cifra45 |
| Upload Date | July 21 2025 11:39 AM |
| Views | 5 |
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% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2977
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7413
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
15092
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13334
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
97% |
3250
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2307
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6668
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3693
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6550
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12321
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8173
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19040
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22143
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17474
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2443
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3026
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2361
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5663
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5899
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6358
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6160
106.4 IPS |
