iPhone 15 Pro
Geekbench AI Score
3792
Single Precision Score
6888
Half Precision Score
5677
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:28 PM |
| Views | 3 |
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% |
1565
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7592
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
16490
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14534
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
3281
261.2 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6727
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3846
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6695
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12790
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8919
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20834
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33175
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27345
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5540
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7366
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7319
126.5 IPS |
