iPhone 15 Pro
Geekbench AI Score
3613
Single Precision Score
27444
Half Precision Score
39503
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 17 2026 11:52 AM |
| Views | 10 |
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% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
10921
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
16070
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15367
249.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21484
348.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
100265
117.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
202902
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
13924
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
19510
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
2605
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
35740
424.7 IPS |
|
|
Face Detection (Q)
|
100% |
58001
689.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6011
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76872
592.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
124410
972.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17548
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
197943
254.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249553
322.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3984
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33626
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56257
2.08 KIPS |
|
|
Text Classification (SP)
|
99% |
5668
7.56 KIPS |
|
|
Text Classification (HP)
|
99% |
9015
12.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9415
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
2927
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6276
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7100
122.7 IPS |
