iPhone 15 Pro
Geekbench AI Score
5089
Single Precision Score
5989
Half Precision Score
5483
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3680
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4064
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13410
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14220
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13798
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (Q)
|
92% |
2484
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
6342
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
8615
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
6953
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11212
86.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11885
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11221
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27258
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31992
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31742
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5797
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6215
229.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5987
221.1 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1446
25.0 IPS |
