iPhone 15 Pro
Geekbench AI Score
3632
Single Precision Score
5400
Half Precision Score
4469
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | spipeslee |
| Upload Date | August 16 2024 03:53 PM |
| Views | 13 |
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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
2209
410.7 IPS |
|
|
Image Classification (Q)
|
99% |
2196
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7402
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
15508
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13460
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6087
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9483
73.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4820
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19803
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30703
39.5 IPS |
|
|
Style Transfer (Q)
|
100% |
29725
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4305
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5145
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4528
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4540
78.5 IPS |
