iPhone 15 Pro
Geekbench AI Score
4000
Single Precision Score
24236
Half Precision Score
34047
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 23 2024 11:48 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
10807
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15115
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12992
210.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16059
260.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8165
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
106655
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203379
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
13540
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19113
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3260
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
34409
408.8 IPS |
|
|
Face Detection (Q)
|
100% |
51050
606.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78425
604.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128315
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21409
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204241
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
247467
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34031
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59545
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3133
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7336
126.8 IPS |
