iPhone 15 Pro
Geekbench AI Score
5063
Single Precision Score
5943
Half Precision Score
5382
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 03:17 AM |
| Views | 9 |
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% |
1880
349.6 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4163
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4034
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13276
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14025
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13726
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (Q)
|
92% |
2304
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
9101
108.1 IPS |
|
|
Face Detection (Q)
|
100% |
7174
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11536
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12090
93.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11169
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27716
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32917
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32040
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5099
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1432
24.7 IPS |
