iPhone 15 Pro
Geekbench AI Score
3815
Single Precision Score
6736
Half Precision Score
5466
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 04:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1691
314.5 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.1 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3014
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7408
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
15432
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13688
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3305
263.2 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3725
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6612
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12814
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8796
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20377
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31803
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26921
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5772
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6219
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5566
96.2 IPS |
