iPhone 15 Pro
Geekbench AI Score
4018
Single Precision Score
25341
Half Precision Score
33941
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | January 02 2025 11:11 PM |
| Views | 3 |
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% |
1723
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
10717
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15262
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15918
258.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20953
339.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8312
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
107693
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205618
241.0 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
13921
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18928
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34436
409.2 IPS |
|
|
Face Detection (Q)
|
100% |
50061
594.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7097
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78854
607.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
127395
996.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21716
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205279
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
251677
324.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34734
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59154
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2328
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6798
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7375
127.4 IPS |
