iPhone 15 Pro
Geekbench AI Score
5028
Single Precision Score
5866
Half Precision Score
4426
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2024 03:45 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% |
1951
362.8 IPS |
|
|
Image Classification (HP)
|
100% |
1784
331.8 IPS |
|
|
Image Classification (Q)
|
99% |
1982
369.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15108
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15860
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14630
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
2800
222.1 IPS |
|
|
Object Detection (Q)
|
91% |
2256
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
6944
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
9477
112.6 IPS |
|
|
Face Detection (Q)
|
100% |
6604
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11945
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13438
103.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1841
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29281
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34769
44.7 IPS |
|
|
Style Transfer (Q)
|
100% |
34605
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6661
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5091
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5457
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
960
16.6 IPS |
