iPhone 15 Pro
Geekbench AI Score
2811
Single Precision Score
13991
Half Precision Score
17815
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1474
274.1 IPS |
|
|
Image Classification (HP)
|
100% |
6240
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
7538
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5237
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9846
159.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7740
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
88279
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
153845
180.3 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
8173
648.3 IPS |
|
|
Object Detection (Q)
|
93% |
9998
797.7 IPS |
|
|
Face Detection (SP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
11140
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
13217
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4790
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43403
334.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
58265
455.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12846
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
128378
165.0 IPS |
|
|
Style Transfer (Q)
|
96% |
137977
178.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4199
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18270
674.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25907
956.6 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
4068
5.85 KIPS |
|
|
Text Classification (Q)
|
69% |
3952
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2594
44.8 IPS |
