iPhone17,1
Geekbench AI Score
4664
Single Precision Score
7865
Half Precision Score
6283
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | November 12 2024 04:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.0 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3395
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9661
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19145
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16234
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
97% |
3846
306.2 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3739
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7700
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4296
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8041
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14463
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10058
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24954
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37982
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31315
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7156
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.1 IPS |
