iPhone 15 Pro
Geekbench AI Score
3936
Single Precision Score
6826
Half Precision Score
5606
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bennettjacob764 |
| Upload Date | December 30 2024 09:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.2 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7879
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
16287
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14169
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
97% |
3335
265.5 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6855
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3886
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6967
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13461
104.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9348
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21166
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32286
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27451
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6055
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6105
105.5 IPS |
