iPhone 15 Pro
Geekbench AI Score
3888
Single Precision Score
25565
Half Precision Score
35726
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 29 2025 04:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
11145
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15575
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16394
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21255
344.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7386
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
106058
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206218
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
13740
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18931
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
35333
419.8 IPS |
|
|
Face Detection (Q)
|
100% |
52030
618.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6790
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78567
605.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
129669
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20330
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
208558
268.1 IPS |
|
|
Style Transfer (Q)
|
96% |
256674
331.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35029
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58907
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3391
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6577
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7577
130.9 IPS |
