iPhone 15 Pro
Geekbench AI Score
3889
Single Precision Score
6709
Half Precision Score
5875
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.2 IPS |
|
|
Image Classification (Q)
|
99% |
2909
542.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2380
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7563
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15731
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13833
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3782
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13241
102.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13242
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20593
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32061
41.2 IPS |
|
|
Style Transfer (Q)
|
100% |
31877
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5734
211.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4359
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3098
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5254
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5210
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6040
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6064
104.8 IPS |
