iPhone 15 Pro
Geekbench AI Score
3842
Single Precision Score
26802
Half Precision Score
36966
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:44 AM |
| Views | 1 |
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% |
1579
293.6 IPS |
|
|
Image Classification (HP)
|
100% |
10980
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15494
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15626
253.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21210
343.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7635
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
108233
126.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
206127
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
13842
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18321
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
36829
437.6 IPS |
|
|
Face Detection (Q)
|
100% |
51254
609.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6894
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78472
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
123004
961.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21536
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
208385
267.9 IPS |
|
|
Style Transfer (Q)
|
96% |
250753
323.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35130
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61076
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5336
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6398
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7452
128.8 IPS |
