iPhone 15 Pro
Geekbench AI Score
3882
Single Precision Score
25531
Half Precision Score
36105
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Myrdingar |
| Upload Date | September 28 2025 08:25 PM |
| Views | 3 |
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% |
1698
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
11521
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15889
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16454
266.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21041
341.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7201
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
101926
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
194865
228.4 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
14067
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
19125
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
36798
437.2 IPS |
|
|
Face Detection (Q)
|
100% |
52852
628.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6793
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78466
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
128400
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20451
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200207
257.4 IPS |
|
|
Style Transfer (Q)
|
96% |
255617
329.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33995
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63100
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3554
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6641
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7768
134.2 IPS |
