iPhone 15 Pro
Geekbench AI Score
3856
Single Precision Score
23991
Half Precision Score
33132
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1694
315.1 IPS |
|
|
Image Classification (HP)
|
100% |
11339
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
14802
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15595
252.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21159
343.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7460
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
102007
119.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
202981
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
13877
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18665
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
35259
419.0 IPS |
|
|
Face Detection (Q)
|
100% |
50219
596.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6763
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78072
601.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
125279
979.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20356
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201394
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247152
318.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4746
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33620
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61868
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
1867
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6008
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7480
129.3 IPS |
