iPhone 15 Pro
Geekbench AI Score
5003
Single Precision Score
5767
Half Precision Score
5262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:41 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% |
1900
353.3 IPS |
|
|
Image Classification (HP)
|
100% |
1552
288.6 IPS |
|
|
Image Classification (Q)
|
97% |
1855
346.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3985
64.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4004
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15902
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14931
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
2968
235.4 IPS |
|
|
Object Detection (Q)
|
91% |
2202
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
9168
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
6602
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12088
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12578
96.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10535
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29651
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34790
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33421
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6259
231.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6730
248.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5346
197.4 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
966
16.7 IPS |
