iPhone 15 Pro
Geekbench AI Score
3988
Single Precision Score
7031
Half Precision Score
5655
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2570
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7836
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
16241
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14181
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
97% |
3383
269.3 IPS |
|
|
Object Detection (Q)
|
94% |
2392
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3869
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6982
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13584
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9245
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21376
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33538
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27887
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6197
228.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5716
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6327
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6296
108.8 IPS |
