iPhone 15 Pro
Geekbench AI Score
3971
Single Precision Score
23338
Half Precision Score
30802
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1624
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
11269
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
14978
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12982
210.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15760
255.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8087
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
106633
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204213
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
13904
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19061
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34876
414.4 IPS |
|
|
Face Detection (Q)
|
100% |
49046
582.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7280
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78518
604.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126503
989.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21717
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
138701
178.3 IPS |
|
|
Style Transfer (Q)
|
96% |
165026
213.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34726
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58461
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2737
3.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1963
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6122
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7122
123.1 IPS |
