iPhone 15 Pro
Geekbench AI Score
2814
Single Precision Score
5219
Half Precision Score
4203
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1551
288.4 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.1 IPS |
|
|
Image Classification (Q)
|
96% |
1941
362.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2328
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4783
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
11649
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10572
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2539
202.1 IPS |
|
|
Object Detection (Q)
|
94% |
1820
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
5190
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
2981
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5280
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10149
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7015
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12109
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24357
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19420
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3557
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3085
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3490
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3735
64.6 IPS |
