iPhone17,1
Geekbench AI Score
4512
Single Precision Score
32318
Half Precision Score
45535
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:50 PM |
| Views | 3 |
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% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
15457
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
22572
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14683
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18334
297.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8866
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154754
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292281
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
16412
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22682
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3635
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41134
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
55278
656.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7783
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94733
729.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162116
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23378
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245704
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304490
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50891
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84873
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4760
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5283
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9297
160.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11419
197.3 IPS |
