iPhone 15 Pro
Geekbench AI Score
4055
Single Precision Score
24933
Half Precision Score
35411
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 05:16 PM |
| Views | 1 |
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% |
1719
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
10642
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15508
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16024
259.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20928
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8457
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
107892
125.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204173
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
13731
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18920
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
33954
403.4 IPS |
|
|
Face Detection (Q)
|
100% |
51312
609.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7155
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78457
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
130458
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21649
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202546
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
250650
323.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33894
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56820
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3596
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6153
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7214
124.7 IPS |
