iPhone17,2
Geekbench AI Score
4588
Single Precision Score
32982
Half Precision Score
45810
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wangxin |
| Upload Date | October 17 2024 08:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
15221
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19984
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14660
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18255
295.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9206
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154849
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
295799
346.7 IPS |
|
|
Object Detection (SP)
|
100% |
2153
170.8 IPS |
|
|
Object Detection (HP)
|
100% |
16886
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
23411
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
42538
505.4 IPS |
|
|
Face Detection (Q)
|
100% |
60618
720.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7873
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
97151
748.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166594
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
248273
319.2 IPS |
|
|
Style Transfer (Q)
|
96% |
307946
397.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5783
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52904
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88378
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4711
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4988
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10212
175.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11754
203.1 IPS |
