iPhone 15 Pro
Geekbench AI Score
4981
Single Precision Score
6164
Half Precision Score
5375
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | seancuttlefish |
| Upload Date | March 04 2025 05:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2114
393.2 IPS |
|
|
Image Classification (HP)
|
100% |
2745
510.5 IPS |
|
|
Image Classification (Q)
|
97% |
2074
387.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3744
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13083
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13854
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13055
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
2799
222.0 IPS |
|
|
Object Detection (Q)
|
91% |
2493
199.2 IPS |
|
|
Face Detection (SP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
9115
108.3 IPS |
|
|
Face Detection (Q)
|
100% |
6375
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11348
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12455
96.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10669
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26910
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32158
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30322
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6505
240.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5705
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1392
24.1 IPS |
