iPhone 15 Pro
Geekbench AI Score
4034
Single Precision Score
24046
Half Precision Score
32402
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | barrcharlesgb |
| Upload Date | January 29 2025 03:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
11256
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15093
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15674
254.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20999
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8377
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
106734
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203967
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
13868
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18992
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
35019
416.1 IPS |
|
|
Face Detection (Q)
|
100% |
50623
601.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7202
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78258
602.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
128543
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21890
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203224
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
247271
319.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34307
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58881
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6174
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7396
127.8 IPS |
