iPhone 15 Pro
Geekbench AI Score
4983
Single Precision Score
5790
Half Precision Score
5574
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 08:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3592
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4204
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4116
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13169
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15051
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14592
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (Q)
|
92% |
2512
200.5 IPS |
|
|
Face Detection (SP)
|
100% |
6542
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
8962
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
7072
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10987
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12224
94.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11561
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26888
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33041
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29393
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5906
218.1 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5133
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1457
25.2 IPS |
