iPhone 15 Pro
Geekbench AI Score
1739
Single Precision Score
3099
Half Precision Score
2497
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 09:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (Q)
|
96% |
857
160.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1339
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
7363
8.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
6343
7.43 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (HP)
|
97% |
1480
117.8 IPS |
|
|
Object Detection (Q)
|
94% |
1035
82.5 IPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1676
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3069
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5570
43.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
3970
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9531
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14409
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12152
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1893
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2490
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3287
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3291
56.9 IPS |
