iPhone 15 Pro
Geekbench AI Score
5080
Single Precision Score
5975
Half Precision Score
5258
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (Q)
|
97% |
1848
344.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3228
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3963
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4011
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15120
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15968
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14687
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (Q)
|
91% |
2271
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
6669
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
8857
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
6412
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11929
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12925
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10565
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29859
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35908
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32568
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6531
241.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6834
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5378
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5684
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
974
16.8 IPS |
