iPhone 15 Pro
Geekbench AI Score
3975
Single Precision Score
6866
Half Precision Score
5648
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 10:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
2884
536.3 IPS |
|
|
Image Classification (Q)
|
96% |
2024
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8141
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
16466
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14495
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
97% |
3381
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6897
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3921
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7028
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13569
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9348
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21080
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32610
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27493
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4991
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5767
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5694
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6152
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6143
106.2 IPS |
