iPhone17,1
Geekbench AI Score
5791
Single Precision Score
6624
Half Precision Score
6027
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:09 PM |
| Views | 16 |
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% |
3005
558.9 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.6 IPS |
|
|
Image Classification (Q)
|
97% |
2775
517.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4430
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4405
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15794
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16440
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15515
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3579
283.9 IPS |
|
|
Object Detection (Q)
|
91% |
2845
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
10763
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
7203
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13422
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14454
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11907
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32830
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39475
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36512
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8010
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8302
306.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6798
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5736
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
968
16.7 IPS |
