iPhone 15 Pro
Geekbench AI Score
3757
Single Precision Score
6837
Half Precision Score
5589
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | November 13 2025 04:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1572
292.3 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7297
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
16066
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13816
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.5 IPS |
|
|
Object Detection (HP)
|
97% |
3256
259.2 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6702
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3782
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6650
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12626
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8927
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20563
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32907
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27418
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5946
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3129
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5210
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7342
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7230
124.9 IPS |
