iPhone 15 Pro
Geekbench AI Score
4047
Single Precision Score
6914
Half Precision Score
5652
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 04:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.2 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8670
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17227
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14898
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
97% |
3385
269.5 IPS |
|
|
Object Detection (Q)
|
94% |
2369
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6880
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3926
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7198
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13604
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9437
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21924
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32842
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27692
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4392
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6140
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6091
105.3 IPS |
