iPhone 15 Pro
Geekbench AI Score
3930
Single Precision Score
24416
Half Precision Score
32904
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:55 PM |
| 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% |
1651
307.1 IPS |
|
|
Image Classification (HP)
|
100% |
11571
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
15099
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12901
209.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16131
261.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7903
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
107675
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
204359
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
13966
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19278
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34542
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
49417
587.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78751
606.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
128954
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20882
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203646
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
246845
318.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34503
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56694
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2286
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6240
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7606
131.4 IPS |
