iPhone 15 Pro
Geekbench AI Score
4017
Single Precision Score
6997
Half Precision Score
5736
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:41 AM |
| Views | 6 |
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% |
1696
315.4 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8364
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
17150
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14817
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
97% |
3361
267.6 IPS |
|
|
Object Detection (Q)
|
94% |
2389
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3862
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13011
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9062
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22129
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34247
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28354
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4431
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5645
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7004
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7042
121.7 IPS |
