iPhone 15 Pro
Geekbench AI Score
4039
Single Precision Score
25334
Half Precision Score
34407
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barrcharlesgb |
| Upload Date | January 29 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 18.3 |
| 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
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
11167
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14666
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16029
259.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20522
332.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8413
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
107697
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
203423
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
13905
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18893
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
34291
407.5 IPS |
|
|
Face Detection (Q)
|
100% |
50757
603.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7140
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78431
604.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
126270
987.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21771
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202323
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
253455
327.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5160
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34842
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57296
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2901
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6893
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7447
128.7 IPS |
