iPhone 15 Pro
Geekbench AI Score
3961
Single Precision Score
24287
Half Precision Score
33400
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
10681
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15329
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12942
209.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16052
260.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7902
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
106578
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203213
238.2 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
13648
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19104
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
33716
400.6 IPS |
|
|
Face Detection (Q)
|
100% |
49307
585.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78572
605.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127184
994.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20945
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202928
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247694
319.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34181
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56390
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3117
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2892
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7141
123.4 IPS |
