iPhone 15 Pro
Geekbench AI Score
3805
Single Precision Score
6630
Half Precision Score
5429
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.2 IPS |
|
|
Image Classification (Q)
|
96% |
1869
349.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2941
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7382
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
15239
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13509
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
97% |
3266
260.0 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6551
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3758
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6782
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13019
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8997
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20110
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31195
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26384
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4279
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6020
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6072
104.9 IPS |
