iPhone 15 Pro
Geekbench AI Score
3878
Single Precision Score
6806
Half Precision Score
5521
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barrcharlesgb |
| Upload Date | January 28 2025 09:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1710
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.4 IPS |
|
|
Image Classification (Q)
|
96% |
2006
374.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7964
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
16313
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14164
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
3336
265.6 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6515
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3712
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6651
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12946
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8843
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20633
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31917
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26775
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6084
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6112
105.6 IPS |
