iPhone17,1
Geekbench AI Score
5711
Single Precision Score
6708
Half Precision Score
5893
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (HP)
|
100% |
2894
538.2 IPS |
|
|
Image Classification (Q)
|
97% |
2786
519.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4354
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4325
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15601
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16413
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15419
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3159
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
3677
291.6 IPS |
|
|
Object Detection (Q)
|
91% |
2820
225.3 IPS |
|
|
Face Detection (SP)
|
100% |
7681
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
10549
125.3 IPS |
|
|
Face Detection (Q)
|
100% |
7097
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13472
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14248
109.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12494
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32641
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39229
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36224
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7943
293.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8403
310.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6798
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
754
13.0 IPS |
