iPhone 15 Pro
Geekbench AI Score
4055
Single Precision Score
24800
Half Precision Score
34215
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | edsinsi |
| Upload Date | January 09 2025 03:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
10538
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
15245
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15892
257.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20970
339.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8624
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107754
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
203395
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
13639
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19414
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
35195
418.2 IPS |
|
|
Face Detection (Q)
|
100% |
50807
603.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7246
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
77913
600.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127584
997.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22254
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202212
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
250065
322.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34162
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59744
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2424
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7420
128.2 IPS |
