iPhone 15 Pro
Geekbench AI Score
4036
Single Precision Score
6940
Half Precision Score
5657
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TSTR |
| Upload Date | October 24 2024 08:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
2941
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
2008
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8258
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
16963
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14755
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3387
269.7 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6869
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3929
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13676
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9393
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21666
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32968
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27505
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5814
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5730
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6132
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6146
106.2 IPS |
