iPhone 15 Pro
Geekbench AI Score
3862
Single Precision Score
6753
Half Precision Score
5897
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | August 16 2024 10:47 PM |
| Views | 20 |
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% |
1658
308.3 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
99% |
2909
542.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2413
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7712
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14899
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13646
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2301
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6600
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3743
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6806
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13252
102.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13227
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20583
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31718
40.8 IPS |
|
|
Style Transfer (Q)
|
100% |
31761
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5759
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4364
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6227
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6065
104.8 IPS |
