iPhone17,1
Geekbench AI Score
4476
Single Precision Score
32027
Half Precision Score
44498
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | September 20 2024 02:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
15503
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20988
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14731
238.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18343
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8684
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148392
173.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290140
340.1 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (HP)
|
100% |
16435
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22649
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
41121
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
55029
653.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7589
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95099
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162959
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23476
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246012
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304103
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51269
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86845
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4430
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9515
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11468
198.2 IPS |
