iPhone 15 Pro
Geekbench AI Score
3987
Single Precision Score
7035
Half Precision Score
5736
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 03:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3043
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8344
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
16945
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14470
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
3336
265.6 IPS |
|
|
Object Detection (Q)
|
94% |
2382
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6853
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3856
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7035
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12874
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9047
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21510
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34688
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28211
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4937
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5761
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7170
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7097
122.7 IPS |
