iPhone 15 Pro
Geekbench AI Score
4093
Single Precision Score
24357
Half Precision Score
33734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:16 PM |
| Views | 1 |
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% |
1741
323.9 IPS |
|
|
Image Classification (HP)
|
100% |
10821
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15085
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12921
209.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16114
261.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8742
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106218
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
202912
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
13716
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19125
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
34826
413.8 IPS |
|
|
Face Detection (Q)
|
100% |
49163
584.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7364
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78236
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129456
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
22145
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204065
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247275
319.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34000
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58512
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3137
4.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3048
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6086
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7210
124.6 IPS |
