iPhone 15 Pro
Geekbench AI Score
3940
Single Precision Score
6822
Half Precision Score
5596
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:48 AM |
| Views | 1 |
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% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.3 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7903
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
16358
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14209
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
97% |
3348
266.5 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3875
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6992
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13498
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9250
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20991
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32256
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27432
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4405
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6063
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6106
105.5 IPS |
