iPhone 15 Pro
Geekbench AI Score
3785
Single Precision Score
6664
Half Precision Score
5451
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 09:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.0 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.8 IPS |
|
|
Image Classification (Q)
|
96% |
1994
372.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7225
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
14968
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13195
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3287
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2292
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6655
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3750
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6683
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12979
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8904
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19741
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30927
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26156
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4527
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4312
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6021
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6007
103.8 IPS |
