iPhone 15 Pro
Geekbench AI Score
3816
Single Precision Score
6792
Half Precision Score
5551
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 10:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7555
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15535
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13489
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2327
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6578
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3722
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6725
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12442
96.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8773
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20122
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32124
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26373
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5736
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5347
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5275
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7236
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7223
124.8 IPS |
