iPhone 15 Pro
Geekbench AI Score
3640
Single Precision Score
23361
Half Precision Score
32532
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1603
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
11383
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15505
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12685
205.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15749
255.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6752
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
99149
115.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
198094
232.2 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
100% |
13847
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19194
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
2832
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
34603
411.2 IPS |
|
|
Face Detection (Q)
|
100% |
52382
622.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6310
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77071
593.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124978
977.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18451
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
192457
247.4 IPS |
|
|
Style Transfer (Q)
|
96% |
254466
328.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33970
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56242
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (Q)
|
93% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6966
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8182
141.4 IPS |
