iPhone 15 Pro
Geekbench AI Score
3877
Single Precision Score
24730
Half Precision Score
34800
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 01:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
11320
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15273
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15683
254.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20927
339.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7582
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
101419
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
202852
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
100% |
13599
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18726
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34190
406.2 IPS |
|
|
Face Detection (Q)
|
100% |
51405
610.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6788
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78746
606.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127982
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20557
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202344
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
247570
319.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33875
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55714
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3184
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6245
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7428
128.4 IPS |
