iPhone 15 Pro
Geekbench AI Score
3867
Single Precision Score
24726
Half Precision Score
34004
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
10997
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15367
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16007
259.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20808
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7795
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104741
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
202859
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
13873
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19152
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
34041
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
52324
621.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6719
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78381
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127290
995.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20390
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201650
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
246552
318.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33903
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60053
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2327
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6171
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7251
125.3 IPS |
