iPhone 15 Pro
Geekbench AI Score
4144
Single Precision Score
4773
Half Precision Score
4259
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | abelim |
| Upload Date | August 16 2024 06:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
1770
329.2 IPS |
|
|
Image Classification (Q)
|
99% |
2054
383.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3059
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3892
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15046
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15978
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14570
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
3052
242.1 IPS |
|
|
Object Detection (Q)
|
92% |
2191
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
6524
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
8960
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
6241
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11870
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13056
100.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13319
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29687
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35313
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
36124
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6248
230.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6874
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5426
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.9 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.6 IPS |
|
|
Text Classification (Q)
|
93% |
306
410.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1546
26.7 IPS |
