iPhone 15 Pro
Geekbench AI Score
3553
Single Precision Score
6512
Half Precision Score
5340
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.6 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2901
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6956
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14156
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12647
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3146
250.4 IPS |
|
|
Object Detection (Q)
|
94% |
2245
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
6329
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
3388
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6209
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11814
91.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8178
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18511
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28761
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25550
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5618
207.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4172
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5369
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2983
51.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6905
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7080
122.3 IPS |
