iPhone 15 Pro
Geekbench AI Score
3636
Single Precision Score
5402
Half Precision Score
4491
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | abelim |
| Upload Date | August 16 2024 05:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1732
322.0 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (Q)
|
99% |
2196
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1325
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7236
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
15535
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13169
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
97% |
2540
202.2 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4845
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
3077
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5931
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9405
72.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4811
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19561
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29762
38.3 IPS |
|
|
Style Transfer (Q)
|
100% |
29871
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5695
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4300
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5202
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4563
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4502
77.8 IPS |
