iPhone 15 Pro
Geekbench AI Score
3946
Single Precision Score
22740
Half Precision Score
31653
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
10939
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
14020
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12929
209.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15976
259.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7848
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
106114
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
203400
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
13539
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18757
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
33540
398.5 IPS |
|
|
Face Detection (Q)
|
100% |
48785
579.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7030
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78064
601.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128197
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21110
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
137931
177.3 IPS |
|
|
Style Transfer (Q)
|
96% |
164361
212.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33630
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55217
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2506
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2893
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7196
124.4 IPS |
