iPhone 15 Pro
Geekbench AI Score
5029
Single Precision Score
5800
Half Precision Score
4419
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1897
352.8 IPS |
|
|
Image Classification (HP)
|
100% |
1718
319.4 IPS |
|
|
Image Classification (Q)
|
99% |
2026
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3940
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15045
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15801
18.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
14544
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2510
199.1 IPS |
|
|
Object Detection (HP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (Q)
|
91% |
2228
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
6675
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
9171
109.0 IPS |
|
|
Face Detection (Q)
|
100% |
6543
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12155
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13417
103.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1839
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29187
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34382
44.2 IPS |
|
|
Style Transfer (Q)
|
100% |
34325
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6646
245.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6585
243.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5081
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
957
16.5 IPS |
