iPhone 15 Pro
Geekbench AI Score
1797
Single Precision Score
3033
Half Precision Score
2460
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 08:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
756
140.7 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.3 IPS |
|
|
Image Classification (Q)
|
96% |
828
154.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1318
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
7025
8.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
6393
7.49 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1456
115.9 IPS |
|
|
Object Detection (Q)
|
94% |
1037
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (Q)
|
100% |
1705
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3090
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5875
45.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4140
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9353
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14017
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11920
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1856
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2988
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2989
51.7 IPS |
