iPhone 15 Pro
Geekbench AI Score
3818
Single Precision Score
25798
Half Precision Score
37205
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:38 PM |
| Views | 5 |
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% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
12098
2.25 KIPS |
|
|
Image Classification (Q)
|
97% |
16912
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16213
262.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21100
342.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7201
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
103351
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206702
242.3 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
14013
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19842
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
34282
407.3 IPS |
|
|
Face Detection (Q)
|
100% |
52943
629.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6369
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77226
595.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
127156
994.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20283
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207329
266.5 IPS |
|
|
Style Transfer (Q)
|
96% |
257645
332.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4701
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34065
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62192
2.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6572
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8072
139.5 IPS |
