iPhone 15 Pro
Geekbench AI Score
4072
Single Precision Score
25047
Half Precision Score
34732
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 11:27 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% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
11242
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15216
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15781
255.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21003
340.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8753
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105980
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204663
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
13822
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19010
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
34299
407.5 IPS |
|
|
Face Detection (Q)
|
100% |
49761
591.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7264
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77692
598.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127515
997.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22213
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202008
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
251121
324.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34032
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54910
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3166
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6379
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7418
128.2 IPS |
