iPhone 15 Pro
Geekbench AI Score
3927
Single Precision Score
23624
Half Precision Score
32527
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:03 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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
10748
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15139
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12925
209.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16051
260.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8050
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
106428
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
203277
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
13844
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19209
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
33540
398.5 IPS |
|
|
Face Detection (Q)
|
100% |
49787
591.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7106
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78580
605.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128499
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
19574
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
139002
178.7 IPS |
|
|
Style Transfer (Q)
|
96% |
165612
213.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4955
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34457
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56841
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3175
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6782
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7309
126.3 IPS |
