iPhone 15 Pro
Geekbench AI Score
3853
Single Precision Score
6759
Half Precision Score
5518
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mer2460 |
| Upload Date | January 22 2025 05:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1683
313.0 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
96% |
2008
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7400
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
15682
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13691
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
3316
264.0 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3808
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6776
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13164
101.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9029
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20447
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32163
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26784
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6094
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6083
105.1 IPS |
