iPhone 15 Pro (GPU, LP) iPhone 15 Pro
Geekbench AI Score
2876
Single Precision Score
3701
Half Precision Score
2845
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yonis |
| Upload Date | August 15 2024 10:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
821
152.6 IPS |
|
|
Image Classification (HP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (Q)
|
99% |
1146
213.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3491
56.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3763
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8232
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
9137
10.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
8446
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (Q)
|
91% |
1440
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
6998
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6917
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10487
80.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1102
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
17172
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22663
29.1 IPS |
|
|
Style Transfer (Q)
|
100% |
32663
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3160
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2449
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
98% |
598
10.3 IPS |
