iPhone 15 Pro
Geekbench AI Score
4087
Single Precision Score
25424
Half Precision Score
35745
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | April 11 2025 04:22 PM |
| Views | 4 |
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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
10787
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15503
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16744
271.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21679
351.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8370
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
107748
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
206617
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
13972
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19491
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
34305
407.6 IPS |
|
|
Face Detection (Q)
|
100% |
51998
617.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7222
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78443
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
129333
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
22522
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206746
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
255732
330.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5188
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34055
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56710
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3322
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3482
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6595
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7410
128.1 IPS |
