iPhone 15 Pro
Geekbench AI Score
4922
Single Precision Score
5927
Half Precision Score
5262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 04:56 AM |
| Views | 1 |
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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (Q)
|
97% |
1885
351.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3081
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3947
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15122
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15935
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14766
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2501
198.4 IPS |
|
|
Object Detection (HP)
|
100% |
2896
229.7 IPS |
|
|
Object Detection (Q)
|
91% |
2358
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
6430
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
8952
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
6264
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11588
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12964
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10750
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30232
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35995
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32561
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6519
240.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6685
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5338
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
