iPhone17,1
Geekbench AI Score
5753
Single Precision Score
6640
Half Precision Score
5941
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jordan41902348 |
| Upload Date | September 23 2024 10:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3046
566.5 IPS |
|
|
Image Classification (HP)
|
100% |
2877
535.0 IPS |
|
|
Image Classification (Q)
|
97% |
2796
521.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3507
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4335
70.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4350
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15659
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16448
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15542
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3440
272.9 IPS |
|
|
Object Detection (Q)
|
91% |
3104
248.0 IPS |
|
|
Face Detection (SP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10553
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
7036
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13196
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14354
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12006
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32640
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39294
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36143
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7940
293.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8303
306.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6848
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5769
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
775
13.4 IPS |
