iPhone 15 Pro
Geekbench AI Score
3727
Single Precision Score
6887
Half Precision Score
5618
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.8 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2997
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7134
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15775
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13802
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1638
130.0 IPS |
|
|
Object Detection (HP)
|
97% |
3240
257.9 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6625
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3734
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6520
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12678
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8790
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20106
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32232
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26859
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4479
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5984
220.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4336
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5816
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5806
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7310
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7297
126.1 IPS |
