iPhone 15 Pro
Geekbench AI Score
3862
Single Precision Score
6751
Half Precision Score
5521
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:41 AM |
| 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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
2008
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7642
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15544
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13603
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
97% |
3338
265.8 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6771
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3809
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6765
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13053
100.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9070
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20136
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31545
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26493
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4608
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6076
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6083
105.1 IPS |
