iPhone 15 Pro
Geekbench AI Score
3866
Single Precision Score
6999
Half Precision Score
5702
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | DeakonFrost |
| Upload Date | September 11 2025 08:58 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1598
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3039
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8101
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
17398
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14764
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6733
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3852
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6847
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12702
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8937
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21349
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34070
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27946
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7479
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7235
125.0 IPS |
