iPhone 15 Pro
Geekbench AI Score
3865
Single Precision Score
25539
Half Precision Score
35365
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 08:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
11430
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15310
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16551
268.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21144
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7565
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
105590
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
206150
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
13563
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19368
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
36672
435.7 IPS |
|
|
Face Detection (Q)
|
100% |
53007
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6796
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78652
606.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128253
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20501
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
208317
267.8 IPS |
|
|
Style Transfer (Q)
|
96% |
255296
329.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33864
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57084
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3194
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3194
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6523
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7483
129.3 IPS |
