iPhone 15 Pro
Geekbench AI Score
4022
Single Precision Score
24723
Half Precision Score
35349
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | April 12 2025 12:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1694
315.1 IPS |
|
|
Image Classification (HP)
|
100% |
10635
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15777
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15827
256.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21481
348.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8214
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
107164
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206055
241.5 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
13925
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19384
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34578
410.9 IPS |
|
|
Face Detection (Q)
|
100% |
51724
614.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7089
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78502
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
127542
997.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22065
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203136
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
254303
328.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35282
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62422
2.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2769
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6408
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7763
134.2 IPS |
