iPhone 15 Pro
Geekbench AI Score
4048
Single Precision Score
6998
Half Precision Score
5688
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 02 2024 09:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.2 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8540
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17399
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15018
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
97% |
3381
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
2367
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6895
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7254
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13756
106.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9466
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21959
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32852
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27771
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5206
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6167
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6185
106.9 IPS |
