iPhone 15 Pro - A17 Pro/M3 iPhone 15 Pro
Geekbench AI Score
4049
Single Precision Score
23790
Half Precision Score
32904
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tomhutchi |
| Upload Date | September 20 2024 07:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
11371
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15727
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12852
208.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15987
259.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8270
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
107828
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
205456
240.8 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
13690
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19057
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
33906
402.9 IPS |
|
|
Face Detection (Q)
|
100% |
49324
586.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7217
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78836
607.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
136959
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
21690
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205516
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
253833
327.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34533
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56407
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2052
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6189
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7615
131.6 IPS |
