iPhone 15 Pro
Geekbench AI Score
3931
Single Precision Score
24140
Half Precision Score
33104
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zhu_kai_l |
| Upload Date | March 08 2025 09:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
10933
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15338
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15650
253.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21018
340.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8001
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
106262
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203954
239.0 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
13807
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18955
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
33930
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
51026
606.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6966
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78208
602.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
127290
995.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20891
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202437
260.2 IPS |
|
|
Style Transfer (Q)
|
96% |
249742
322.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34042
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55948
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6092
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7294
126.0 IPS |
