iPhone 15 Pro
Geekbench AI Score
3688
Single Precision Score
26484
Half Precision Score
35580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:10 AM |
| Views | 3 |
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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
10627
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15471
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16634
269.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21085
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
104875
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
201947
236.7 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
100% |
13443
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17078
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
35188
418.1 IPS |
|
|
Face Detection (Q)
|
100% |
47381
563.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6516
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77446
596.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122550
958.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19840
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
209340
269.1 IPS |
|
|
Style Transfer (Q)
|
96% |
246135
317.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34398
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54820
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5667
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6509
112.5 IPS |
