iPhone 15 Pro
Geekbench AI Score
3856
Single Precision Score
25033
Half Precision Score
34862
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1630
303.1 IPS |
|
|
Image Classification (HP)
|
100% |
11392
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15800
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15737
255.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20943
339.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7350
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
103582
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203801
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
13789
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19118
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
35252
418.9 IPS |
|
|
Face Detection (Q)
|
100% |
50655
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6852
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78435
604.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
126518
989.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20370
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201260
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
250318
323.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34178
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54454
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3028
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6296
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7777
134.4 IPS |
