iPhone 15 Pro
Geekbench AI Score
3777
Single Precision Score
6778
Half Precision Score
5375
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:12 PM |
| Views | 2 |
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% |
1618
301.0 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3019
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7484
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
15234
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13441
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
3335
265.5 IPS |
|
|
Object Detection (Q)
|
94% |
2321
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6703
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3738
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6719
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13188
101.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9015
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20050
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31607
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26671
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4529
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4305
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6068
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6030
104.2 IPS |
