iPhone 15 Pro
Geekbench AI Score
5052
Single Precision Score
5988
Half Precision Score
5216
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 11 2024 05:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
97% |
1850
345.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3919
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3967
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15106
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15927
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14640
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2504
198.6 IPS |
|
|
Object Detection (HP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (Q)
|
91% |
2273
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
6619
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
8900
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
6130
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11739
90.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12744
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10732
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29935
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35912
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32124
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6509
240.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6821
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5443
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.7 IPS |
