iPhone 15 Pro
Geekbench AI Score
3696
Single Precision Score
25264
Half Precision Score
35453
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 02:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1627
302.6 IPS |
|
|
Image Classification (HP)
|
100% |
10861
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15411
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16327
264.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21093
341.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6910
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
102505
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203586
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
13771
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19106
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
33780
401.4 IPS |
|
|
Face Detection (Q)
|
100% |
52522
624.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6394
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78035
601.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
125581
981.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18840
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
197115
253.4 IPS |
|
|
Style Transfer (Q)
|
96% |
250118
322.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4317
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35036
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56632
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3416
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6732
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7775
134.4 IPS |
