iPhone 15 Pro
Geekbench AI Score
3985
Single Precision Score
28334
Half Precision Score
39008
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 19 2026 04:50 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1616
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
10754
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15840
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16478
267.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21769
352.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7114
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
108576
126.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
207068
242.7 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
13863
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
18156
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
36362
432.1 IPS |
|
|
Face Detection (Q)
|
100% |
56952
676.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6597
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78415
604.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127166
993.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19886
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
209459
269.3 IPS |
|
|
Style Transfer (Q)
|
96% |
252317
325.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34552
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56990
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
5672
7.57 KIPS |
|
|
Text Classification (HP)
|
100% |
9451
12.6 KIPS |
|
|
Text Classification (Q)
|
93% |
8921
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6412
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6774
117.1 IPS |
