iPhone 15 Pro
Geekbench AI Score
5079
Single Precision Score
6004
Half Precision Score
5352
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2217
412.4 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.5 IPS |
|
|
Image Classification (Q)
|
97% |
2007
374.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3798
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3811
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13388
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14222
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13489
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.9 IPS |
|
|
Object Detection (HP)
|
100% |
2803
222.4 IPS |
|
|
Object Detection (Q)
|
91% |
2362
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
6263
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
8514
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
6077
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10941
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11716
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10399
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27306
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32295
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30822
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6272
231.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1400
24.2 IPS |
