iPhone 15 Pro
Geekbench AI Score
3939
Single Precision Score
6941
Half Precision Score
5712
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 29 2025 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3052
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7942
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16396
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14121
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (HP)
|
97% |
3320
264.3 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3839
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6930
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12874
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8987
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21242
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33770
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27970
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4763
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5707
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4475
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5792
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6980
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7087
122.5 IPS |
