iPhone 15 Pro
Geekbench AI Score
3998
Single Precision Score
24340
Half Precision Score
34006
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
10715
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15316
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12876
208.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16098
261.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8152
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
106532
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203513
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
13766
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19388
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
34023
404.3 IPS |
|
|
Face Detection (Q)
|
100% |
49566
589.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7225
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78482
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129610
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21248
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204626
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
249362
321.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34449
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56865
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3053
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3103
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6279
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7522
130.0 IPS |
