iPhone 15 Pro
Geekbench AI Score
3790
Single Precision Score
26637
Half Precision Score
36427
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 06:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1558
289.7 IPS |
|
|
Image Classification (HP)
|
100% |
11140
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15678
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16337
264.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21411
347.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7453
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
106359
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
208508
244.4 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
13954
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18471
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
34334
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
46455
552.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
79204
610.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
123478
965.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20955
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204246
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
250746
323.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34489
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58185
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6507
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
