iPhone 15 Pro
Geekbench AI Score
3761
Single Precision Score
6711
Half Precision Score
5426
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tono0705 |
| Upload Date | September 19 2024 02:55 AM |
| Views | 3 |
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% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.6 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2925
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7061
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
14366
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12815
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6485
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3711
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6599
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12650
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8738
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19445
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31737
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26591
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4537
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5675
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5656
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6037
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6038
104.4 IPS |
