iPhone 15 Pro
Geekbench AI Score
3826
Single Precision Score
6695
Half Precision Score
5472
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:43 PM |
| 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
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.0 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2989
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7426
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15290
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13521
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2304
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6536
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3766
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6729
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13164
101.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9088
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20167
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31293
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26459
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4296
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5457
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6051
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6065
104.8 IPS |
