iPhone 15 Pro
Geekbench AI Score
3961
Single Precision Score
6875
Half Precision Score
5964
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | August 16 2024 10:50 PM |
| Views | 17 |
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% |
1660
308.8 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
99% |
2906
541.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2394
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8163
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16360
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14092
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6705
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7079
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13480
104.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13455
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21181
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32574
41.9 IPS |
|
|
Style Transfer (Q)
|
100% |
32333
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4921
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5894
217.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4366
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6159
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6122
105.8 IPS |
