iPhone 15 Pro
Geekbench AI Score
3986
Single Precision Score
25164
Half Precision Score
35583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 07:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
10928
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15806
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15914
258.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21352
346.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7965
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
106714
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206950
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
13592
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18869
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
33953
403.4 IPS |
|
|
Face Detection (Q)
|
100% |
51985
617.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7140
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78262
603.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
127735
998.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21709
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207894
267.3 IPS |
|
|
Style Transfer (Q)
|
96% |
256663
331.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34391
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56793
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3417
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6407
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7467
129.0 IPS |
