iPhone 15 Pro
Geekbench AI Score
3833
Single Precision Score
25577
Half Precision Score
34548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | davidsamson |
| Upload Date | November 02 2025 06:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
10945
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
13974
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16522
267.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21316
345.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7574
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
105835
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
201598
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
13544
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
15963
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
34951
415.3 IPS |
|
|
Face Detection (Q)
|
100% |
47715
567.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6813
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71031
547.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108138
845.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21284
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
200424
257.6 IPS |
|
|
Style Transfer (Q)
|
96% |
237851
306.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4724
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29191
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55353
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5899
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6798
117.5 IPS |
