iPhone 15 Pro
Geekbench AI Score
3627
Single Precision Score
5403
Half Precision Score
4492
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:01 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
99% |
2225
415.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1371
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7261
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
15414
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13322
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
97% |
2552
203.2 IPS |
|
|
Object Detection (Q)
|
94% |
1948
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3054
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5936
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9382
72.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4777
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19292
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29669
38.1 IPS |
|
|
Style Transfer (Q)
|
100% |
29545
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4486
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4239
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4510
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4505
77.9 IPS |
