iPhone 15 Pro
Geekbench AI Score
4049
Single Precision Score
7022
Half Precision Score
5736
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 12:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8503
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
17135
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14671
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3342
266.0 IPS |
|
|
Object Detection (Q)
|
94% |
2388
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6873
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7063
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12993
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9117
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22110
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34962
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28300
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5023
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4478
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7032
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7040
121.7 IPS |
