iPhone 15 Pro
Geekbench AI Score
3979
Single Precision Score
23989
Half Precision Score
32772
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:41 AM |
| Views | 1 |
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% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
10854
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15371
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13119
212.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15991
259.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8048
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
107626
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
205527
240.9 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
13608
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19455
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
33754
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
49316
586.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7113
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78445
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
131153
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
21043
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203309
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
250091
322.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35143
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59104
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1967
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7733
133.6 IPS |
