iPhone 15 Pro
Geekbench AI Score
4988
Single Precision Score
5900
Half Precision Score
5320
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | lumisade |
| Upload Date | November 02 2024 09:00 AM |
| Views | 9 |
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% |
1834
341.0 IPS |
|
|
Image Classification (HP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (Q)
|
97% |
1895
353.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3913
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4029
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15098
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15964
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14988
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
3025
240.0 IPS |
|
|
Object Detection (Q)
|
91% |
2359
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
6762
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8903
105.8 IPS |
|
|
Face Detection (Q)
|
100% |
6413
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11836
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12865
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10746
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30191
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35970
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34038
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6412
236.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6891
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5580
206.1 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
931
16.1 IPS |
