iPhone 15 Pro
Geekbench AI Score
3505
Single Precision Score
5196
Half Precision Score
4537
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 10 2024 06:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
2151
399.9 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1960
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
11368
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11491
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.4 IPS |
|
|
Object Detection (HP)
|
97% |
2503
199.2 IPS |
|
|
Object Detection (Q)
|
94% |
1907
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
3038
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5961
45.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9309
72.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7021
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18688
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29532
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24822
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4395
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5658
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4308
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4517
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4505
77.8 IPS |
