iPhone17,1
Geekbench AI Score
4368
Single Precision Score
32524
Half Precision Score
43404
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
15498
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20313
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18285
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24261
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7961
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
145546
169.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292516
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2078
164.8 IPS |
|
|
Object Detection (HP)
|
100% |
16202
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22438
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
40566
482.0 IPS |
|
|
Face Detection (Q)
|
100% |
57465
682.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7345
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95291
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159967
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22373
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244297
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300825
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50007
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80958
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
2909
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9951
171.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11266
194.7 IPS |
