iPhone17,1
Geekbench AI Score
4555
Single Precision Score
32583
Half Precision Score
45547
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
15272
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20894
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18362
297.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23777
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8771
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152809
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293663
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2164
171.7 IPS |
|
|
Object Detection (HP)
|
100% |
16483
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22808
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41214
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58591
696.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7793
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95550
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160525
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24142
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244497
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304182
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50851
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84543
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4199
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9482
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11371
196.5 IPS |
