iPhone 15 Pro
Geekbench AI Score
5047
Single Precision Score
5757
Half Precision Score
5268
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 10:33 AM |
| Views | 2 |
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% |
1888
351.2 IPS |
|
|
Image Classification (HP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (Q)
|
97% |
1800
335.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3916
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4006
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15106
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15831
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14780
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (Q)
|
91% |
2341
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
9443
112.2 IPS |
|
|
Face Detection (Q)
|
100% |
6629
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12043
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12775
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10462
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29626
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34629
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33884
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6280
231.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6481
239.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5306
195.9 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.7 IPS |
