iPhone 15 Pro
Geekbench AI Score
3713
Single Precision Score
6807
Half Precision Score
5455
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 08:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1464
272.3 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.8 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2987
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7319
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
15535
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13406
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2321
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6634
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3722
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6657
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12698
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8316
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19896
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32777
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23831
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4332
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5307
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7191
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7146
123.5 IPS |
