iPhone 15 Pro
Geekbench AI Score
3808
Single Precision Score
25099
Half Precision Score
35474
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | seancuttlefish |
| Upload Date | March 04 2025 05:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1698
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
11543
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
15171
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15933
258.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21429
347.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8310
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
107190
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203594
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
100% |
13807
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
20526
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
33766
401.2 IPS |
|
|
Face Detection (Q)
|
100% |
51067
606.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7107
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
77244
595.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
129617
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
19304
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
190497
244.9 IPS |
|
|
Style Transfer (Q)
|
96% |
243365
314.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34635
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61331
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3029
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6809
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7764
134.2 IPS |
