iPhone 15 Pro
Geekbench AI Score
3640
Single Precision Score
6648
Half Precision Score
5481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | O_Vigilante |
| Upload Date | November 15 2025 01:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1519
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
2945
547.7 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2655
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6704
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14906
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13103
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
3205
255.1 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3661
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6310
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12459
96.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8636
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19397
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31669
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26087
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5788
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7236
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7314
126.4 IPS |
