iPhone 15 Pro
Geekbench AI Score
3845
Single Precision Score
6716
Half Precision Score
5869
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 07:55 AM |
| Views | 5 |
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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
2895
538.3 IPS |
|
|
Image Classification (Q)
|
99% |
2895
539.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2373
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7490
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
15597
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13461
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
3292
262.1 IPS |
|
|
Object Detection (Q)
|
94% |
2309
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6615
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3757
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6838
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13185
101.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
13293
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20345
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31820
40.9 IPS |
|
|
Style Transfer (Q)
|
100% |
31483
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4715
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5744
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4324
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6052
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6089
105.2 IPS |
