iPhone 15 Pro
Geekbench AI Score
3838
Single Precision Score
6908
Half Precision Score
5613
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 03:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1693
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (Q)
|
96% |
2049
382.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7371
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
15531
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13689
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
97% |
3327
264.9 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6670
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3762
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6698
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12787
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8846
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20181
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33078
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27248
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4392
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7082
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7004
121.0 IPS |
