iPhone 15 Pro
Geekbench AI Score
3974
Single Precision Score
6880
Half Precision Score
5618
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:52 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% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.1 IPS |
|
|
Image Classification (Q)
|
96% |
2007
374.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3074
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8275
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16775
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14490
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
97% |
3355
267.1 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7019
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13547
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9350
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21352
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32534
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27365
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4398
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5570
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6114
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6097
105.4 IPS |
