iPhone 15 Pro
Geekbench AI Score
3958
Single Precision Score
24461
Half Precision Score
33913
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:52 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% |
1710
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
11056
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15663
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12941
209.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16030
259.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7946
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
107477
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204441
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
13836
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19191
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3244
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
33750
401.0 IPS |
|
|
Face Detection (Q)
|
100% |
49562
588.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7081
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78712
606.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128921
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20975
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204504
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
250593
323.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4913
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34143
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56851
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3059
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6257
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7337
126.8 IPS |
