iPhone 15 Pro
Geekbench AI Score
3976
Single Precision Score
6845
Half Precision Score
5972
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.4 IPS |
|
|
Image Classification (Q)
|
99% |
2912
543.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2393
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7998
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
16398
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14272
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3367
268.0 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6792
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3864
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7146
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13480
104.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13612
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21188
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32542
41.8 IPS |
|
|
Style Transfer (Q)
|
100% |
32388
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5787
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4336
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5473
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5457
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6231
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6120
105.8 IPS |
