iPhone 15 Pro
Geekbench AI Score
1801
Single Precision Score
3022
Half Precision Score
2469
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
734
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (Q)
|
96% |
833
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1120
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1322
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3627
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
7165
8.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
6417
7.52 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
97% |
1458
116.1 IPS |
|
|
Object Detection (Q)
|
94% |
1033
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1745
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (Q)
|
100% |
1704
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3144
24.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5758
44.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4120
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9136
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13853
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11930
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2371
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2635
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1932
71.3 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2963
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2964
51.2 IPS |
