iPhone 15 Pro
Geekbench AI Score
5125
Single Precision Score
6059
Half Precision Score
5432
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1859
345.7 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
96% |
1429
266.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3639
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4087
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13436
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14535
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14438
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (Q)
|
92% |
2388
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
6444
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
8942
106.3 IPS |
|
|
Face Detection (Q)
|
100% |
7144
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11397
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12217
94.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11041
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27316
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32947
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31257
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6336
234.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5231
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5765
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1512
26.1 IPS |
