iPhone 15 Pro
Geekbench AI Score
3754
Single Precision Score
5479
Half Precision Score
4759
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 09:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1748
325.1 IPS |
|
|
Image Classification (HP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (Q)
|
96% |
1651
308.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2083
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7963
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
16367
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14277
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.6 IPS |
|
|
Object Detection (HP)
|
97% |
2603
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1986
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4940
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3150
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6349
48.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9585
74.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
7253
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20243
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30494
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25794
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5713
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5176
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4536
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4529
78.3 IPS |
