iPhone 15 Pro
Geekbench AI Score
4036
Single Precision Score
25680
Half Precision Score
35377
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 03:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1713
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
10758
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15342
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16781
272.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21541
349.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
107601
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
207707
243.4 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
13775
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18881
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
36852
437.9 IPS |
|
|
Face Detection (Q)
|
100% |
51601
613.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7129
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78382
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
129057
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
22472
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207031
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
253965
327.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34070
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56497
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3304
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6797
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7505
129.7 IPS |
