iPhone 15 Pro
Geekbench AI Score
3916
Single Precision Score
24676
Half Precision Score
33168
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:55 PM |
| Views | 1 |
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% |
1726
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
11000
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15118
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12932
209.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16071
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7706
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105457
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
202871
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
15117
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
19345
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
33602
399.3 IPS |
|
|
Face Detection (Q)
|
100% |
49350
586.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7057
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
79428
611.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
128782
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20853
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202414
260.2 IPS |
|
|
Style Transfer (Q)
|
96% |
252357
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4719
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34331
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56608
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2361
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7886
136.3 IPS |
