iPhone 15 Pro
Geekbench AI Score
3625
Single Precision Score
6456
Half Precision Score
5292
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Alibaqader |
| Upload Date | April 12 2025 01:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (Q)
|
96% |
1998
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7230
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
14792
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12971
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
97% |
3265
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2285
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6631
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3728
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6455
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10613
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7809
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15260
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27596
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23503
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4165
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5713
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5674
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6001
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
