iPhone 15 Pro
Geekbench AI Score
5065
Single Precision Score
5873
Half Precision Score
5267
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 09:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
1668
310.1 IPS |
|
|
Image Classification (Q)
|
97% |
1890
352.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3961
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4040
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15953
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15015
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (Q)
|
91% |
2472
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
6664
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
8990
106.8 IPS |
|
|
Face Detection (Q)
|
100% |
6360
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11598
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12750
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10951
85.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29963
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35779
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34093
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6441
237.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6767
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5333
196.9 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
