iPhone 15 Pro
Geekbench AI Score
5097
Single Precision Score
5909
Half Precision Score
5301
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TSTR |
| Upload Date | October 24 2024 08:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (Q)
|
97% |
1781
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3133
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3930
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4038
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15219
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15937
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15056
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
3135
248.7 IPS |
|
|
Object Detection (Q)
|
91% |
2416
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8990
106.8 IPS |
|
|
Face Detection (Q)
|
100% |
6314
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11845
91.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12839
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10895
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30226
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36172
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33407
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6412
236.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6672
246.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5428
200.4 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
954
16.5 IPS |
