iPhone 15 Pro
Geekbench AI Score
3721
Single Precision Score
26588
Half Precision Score
36386
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
10672
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15716
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16598
269.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21026
340.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
103427
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
206686
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
13683
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18577
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34242
406.9 IPS |
|
|
Face Detection (Q)
|
100% |
49844
592.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6572
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78455
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124601
974.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19878
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204516
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247476
319.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4467
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34535
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54372
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6513
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6963
120.3 IPS |
