iPhone 15 Pro
Geekbench AI Score
4343
Single Precision Score
4898
Half Precision Score
4595
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mer2460 |
| Upload Date | January 25 2025 06:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1086
202.0 IPS |
|
|
Image Classification (HP)
|
100% |
923
171.6 IPS |
|
|
Image Classification (Q)
|
97% |
1062
198.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3693
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3733
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13329
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14309
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13532
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1911
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (Q)
|
91% |
1711
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
6059
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
5807
69.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10699
82.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11915
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10191
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27736
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32450
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30438
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5348
197.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1247
21.5 IPS |
