iPhone 15 Pro
Geekbench AI Score
4989
Single Precision Score
5924
Half Precision Score
5164
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (Q)
|
97% |
1800
335.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3113
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3946
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4021
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14784
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15682
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14417
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (Q)
|
91% |
2262
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
6622
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
8977
106.7 IPS |
|
|
Face Detection (Q)
|
100% |
6215
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11500
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12820
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10212
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27510
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34686
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31511
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6462
238.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6824
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5464
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
946
16.4 IPS |
