iPhone 15 Pro
Geekbench AI Score
4086
Single Precision Score
25447
Half Precision Score
35011
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | atrophyalive |
| Upload Date | December 20 2024 03:47 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
11531
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15820
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15886
257.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21213
343.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8823
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106080
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204801
240.0 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
13932
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18961
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
33849
402.2 IPS |
|
|
Face Detection (Q)
|
100% |
49815
591.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7280
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78531
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
130945
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
22203
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202886
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
251002
323.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5318
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36181
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56240
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3031
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6671
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7610
131.5 IPS |
