iPhone 16 Pro (2024) - A18 Pro/M4 iPhone17,1
Geekbench AI Score
4553
Single Precision Score
32060
Half Precision Score
43919
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tomhutchi |
| Upload Date | September 20 2024 11:52 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.02 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15194
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19515
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14676
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18371
297.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8874
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154215
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292934
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16597
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22441
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
40958
486.7 IPS |
|
|
Face Detection (Q)
|
100% |
54996
653.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8009
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94893
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160018
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24537
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244857
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302730
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5469
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49856
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86297
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4295
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4362
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9865
169.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11298
195.2 IPS |
