iPhone 15 Pro
Geekbench AI Score
3855
Single Precision Score
6722
Half Precision Score
5479
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:36 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% |
1650
306.8 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
1999
373.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3011
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
15536
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13693
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.3 IPS |
|
|
Object Detection (Q)
|
94% |
2288
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6593
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3761
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6885
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13164
101.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9009
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20084
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31676
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26657
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4708
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5767
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4365
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6069
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6011
103.9 IPS |
