iPhone 15 Pro
Geekbench AI Score
4999
Single Precision Score
5952
Half Precision Score
5454
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | August 20 2025 06:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1883
350.3 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (Q)
|
96% |
1531
285.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3661
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4184
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4019
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13321
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14461
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14158
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (Q)
|
92% |
2445
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
5921
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
8579
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
6885
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11083
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12086
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11136
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27492
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31694
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32704
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5441
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5754
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5657
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1418
24.5 IPS |
