iPhone 15 Pro
Geekbench AI Score
4984
Single Precision Score
5965
Half Precision Score
5663
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | davidsamson |
| Upload Date | November 02 2025 06:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1791
333.0 IPS |
|
|
Image Classification (HP)
|
100% |
1886
350.7 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13300
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14570
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
2789
221.2 IPS |
|
|
Object Detection (Q)
|
92% |
2443
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
6390
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
8542
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7106
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11049
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12238
94.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11214
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27280
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32865
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32143
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5862
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6022
222.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5319
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5513
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1540
26.6 IPS |
