iPhone 15 Pro
Geekbench AI Score
3986
Single Precision Score
7006
Half Precision Score
5742
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 01:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1708
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8076
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16923
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14475
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
97% |
3344
266.2 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3858
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7110
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12992
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9073
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21730
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34172
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28044
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4490
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5875
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5949
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6956
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
