iPhone 15 Pro
Geekbench AI Score
4034
Single Precision Score
24329
Half Precision Score
34041
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nerd0017 |
| Upload Date | April 08 2025 08:06 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
10803
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15300
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13015
211.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16123
261.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8283
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
108264
126.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
205291
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
13664
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19423
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
33691
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
49300
585.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7276
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78538
605.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127438
996.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21640
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204042
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247737
319.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34697
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57427
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3212
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6245
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7401
127.9 IPS |
