iPhone 15 Pro
Geekbench AI Score
4191
Single Precision Score
4565
Half Precision Score
4191
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:04 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1838
341.7 IPS |
|
|
Image Classification (HP)
|
100% |
1640
305.0 IPS |
|
|
Image Classification (Q)
|
99% |
1789
333.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14988
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15908
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14521
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (Q)
|
92% |
2298
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
6502
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8637
102.6 IPS |
|
|
Face Detection (Q)
|
100% |
6026
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11863
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12752
98.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13036
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29508
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34604
44.5 IPS |
|
|
Style Transfer (Q)
|
100% |
34258
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6706
247.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5401
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.9 IPS |
|
|
Text Classification (HP)
|
100% |
520
693.6 IPS |
|
|
Text Classification (Q)
|
93% |
307
411.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1606
27.8 IPS |
