iPhone 15 Pro
Geekbench AI Score
3423
Single Precision Score
23973
Half Precision Score
32665
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 09:57 PM |
| Views | 6 |
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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
12065
2.24 KIPS |
|
|
Image Classification (Q)
|
97% |
17651
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16677
270.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21202
343.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
87448
102.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
186258
218.3 IPS |
|
|
Object Detection (SP)
|
100% |
1159
92.0 IPS |
|
|
Object Detection (HP)
|
100% |
12327
977.8 IPS |
|
|
Object Detection (Q)
|
91% |
19258
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
36671
435.7 IPS |
|
|
Face Detection (Q)
|
100% |
53418
634.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57085
439.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129539
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
16908
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
174823
224.7 IPS |
|
|
Style Transfer (Q)
|
96% |
248502
320.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32844
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58380
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3645
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
1861
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6599
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5515
95.3 IPS |
