iPhone 15 Pro
Geekbench AI Score
5003
Single Precision Score
5870
Half Precision Score
5227
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 17 2024 10:57 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% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
1759
327.1 IPS |
|
|
Image Classification (Q)
|
97% |
1821
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3158
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3948
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15014
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15884
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14828
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
2963
235.0 IPS |
|
|
Object Detection (Q)
|
91% |
2224
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
6689
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
9393
111.6 IPS |
|
|
Face Detection (Q)
|
100% |
6622
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12173
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13146
101.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10321
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29505
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34474
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33463
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6157
227.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6732
248.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5305
195.9 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
958
16.5 IPS |
