iPhone 15 Pro
Geekbench AI Score
3720
Single Precision Score
24954
Half Precision Score
33969
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (HP)
|
100% |
11228
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15555
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15651
253.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20090
325.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7051
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
103331
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
202866
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
13963
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19252
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
35199
418.2 IPS |
|
|
Face Detection (Q)
|
100% |
51078
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6657
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78764
606.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129476
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
19173
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200212
257.4 IPS |
|
|
Style Transfer (Q)
|
96% |
250409
323.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34793
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56077
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2433
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7419
128.2 IPS |
