iPhone17,1
Geekbench AI Score
4505
Single Precision Score
32927
Half Precision Score
45339
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 06:15 AM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
15577
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
19549
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24159
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8715
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154515
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293385
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
16390
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22339
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41161
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
57187
679.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7773
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96019
739.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160732
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23756
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245723
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303281
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5423
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51817
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85169
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4402
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4370
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9361
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11430
197.5 IPS |
