iPhone 15 Pro
Geekbench AI Score
4169
Single Precision Score
4706
Half Precision Score
1666
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 12:01 PM |
| Views | 1 |
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% |
1752
325.9 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.5 IPS |
|
|
Image Classification (Q)
|
97% |
1824
340.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3974
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14735
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15789
18.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
14532
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (Q)
|
92% |
2213
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8696
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
6161
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11824
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12660
97.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29514
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34183
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32223
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6044
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6527
241.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5389
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
471
629.2 IPS |
|
|
Text Classification (HP)
|
100% |
517
690.5 IPS |
|
|
Text Classification (Q)
|
93% |
414
556.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1597
27.6 IPS |
