iPhone 15 Pro
Geekbench AI Score
3886
Single Precision Score
6899
Half Precision Score
5601
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1657
308.1 IPS |
|
|
Image Classification (HP)
|
100% |
2973
552.9 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7524
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
15590
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13118
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
3261
259.6 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3791
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6785
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12575
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8876
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20889
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33725
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27864
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5659
209.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5261
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7374
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7362
127.2 IPS |
