iPhone 15 Pro
Geekbench AI Score
4978
Single Precision Score
5978
Half Precision Score
5380
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2216
412.0 IPS |
|
|
Image Classification (HP)
|
100% |
2385
443.6 IPS |
|
|
Image Classification (Q)
|
97% |
2239
417.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2958
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3733
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3780
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13202
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14069
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13270
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (Q)
|
91% |
2337
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
6444
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
8500
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
6044
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10959
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11801
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10311
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27333
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32258
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30469
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5506
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6336
234.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5103
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1455
25.1 IPS |
