iPhone 15 Pro
Geekbench AI Score
3918
Single Precision Score
6763
Half Precision Score
5561
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:39 AM |
| Views | 1 |
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% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
2893
538.0 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3026
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7732
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16020
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14042
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6671
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3830
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7036
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13450
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9234
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32192
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27292
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4849
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4386
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5350
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5397
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6030
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6178
106.8 IPS |
