iPhone 15 Pro
Geekbench AI Score
3717
Single Precision Score
25183
Half Precision Score
35859
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
11119
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15060
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16682
270.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21308
345.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6924
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
103171
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
199668
234.0 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
13849
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19429
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
34494
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
53538
636.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6351
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77973
600.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126257
987.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19160
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201190
258.6 IPS |
|
|
Style Transfer (Q)
|
96% |
254575
328.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4394
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34065
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60893
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3464
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6550
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7782
134.5 IPS |
