iPhone17,1
Geekbench AI Score
4493
Single Precision Score
31790
Half Precision Score
43937
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | luc9488 |
| Upload Date | September 24 2024 01:34 AM |
| Views | 26 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
15244
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20827
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14697
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18218
295.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8638
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
150547
175.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290729
340.8 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
15992
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22005
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
40368
479.7 IPS |
|
|
Face Detection (Q)
|
100% |
54221
644.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7702
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94026
724.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160120
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23536
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246142
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303277
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5686
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49654
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82993
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4615
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4552
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9130
157.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11106
191.9 IPS |
