iPhone 15 Pro
Geekbench AI Score
3782
Single Precision Score
21345
Half Precision Score
27515
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | August 16 2024 10:55 PM |
| Views | 10 |
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% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
11564
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
13215
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10888
176.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10837
175.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7278
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
99726
116.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
196578
230.6 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
13204
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
18820
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
21668
257.5 IPS |
|
|
Face Detection (Q)
|
100% |
35549
422.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6742
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64536
497.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
74517
576.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19605
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138352
177.9 IPS |
|
|
Style Transfer (Q)
|
100% |
139052
178.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4573
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34189
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54768
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3118
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6102
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7464
129.0 IPS |
