iPhone 15 Pro
Geekbench AI Score
3867
Single Precision Score
25084
Half Precision Score
35251
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 03:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
10612
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15513
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15613
253.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21160
343.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7509
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
104923
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204968
240.2 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
13817
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19211
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
36678
435.8 IPS |
|
|
Face Detection (Q)
|
100% |
51451
611.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6774
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78412
604.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128068
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20464
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201274
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
253997
327.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33588
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57607
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3168
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6514
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7507
129.7 IPS |
