iPhone 15 Pro
Geekbench AI Score
4049
Single Precision Score
6896
Half Precision Score
5632
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1734
322.4 IPS |
|
|
Image Classification (HP)
|
100% |
2876
534.9 IPS |
|
|
Image Classification (Q)
|
96% |
1998
373.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3106
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8531
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
17076
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14681
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1827
145.0 IPS |
|
|
Object Detection (HP)
|
97% |
3380
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6902
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7234
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13654
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9448
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22163
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32795
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27681
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5824
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4456
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6085
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5967
103.1 IPS |
