iPhone 15 Pro
Geekbench AI Score
3977
Single Precision Score
24377
Half Precision Score
34118
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:59 AM |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
11960
2.22 KIPS |
|
|
Image Classification (Q)
|
97% |
16319
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12928
209.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16143
261.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
106296
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204187
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
13894
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19340
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34541
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
49849
592.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79029
608.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
129435
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20956
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205036
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
249872
322.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34471
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57903
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
3035
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6171
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7252
125.3 IPS |
