iPhone 15 Pro
Geekbench AI Score
3869
Single Precision Score
27029
Half Precision Score
35981
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 10:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1575
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
11314
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
14772
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16772
271.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21601
350.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7992
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
108019
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
208479
244.3 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
13946
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17575
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
34347
408.1 IPS |
|
|
Face Detection (Q)
|
100% |
46906
557.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6949
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78534
605.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
125090
978.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21849
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207323
266.5 IPS |
|
|
Style Transfer (Q)
|
96% |
245998
317.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37347
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55642
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5383
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5410
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6476
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7160
123.7 IPS |
