iPhone17,2
Geekbench AI Score
4317
Single Precision Score
33015
Half Precision Score
45800
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 05:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
15432
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20883
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18231
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24091
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8297
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
144330
168.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
286444
335.7 IPS |
|
|
Object Detection (SP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (HP)
|
100% |
16294
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22942
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
41788
496.5 IPS |
|
|
Face Detection (Q)
|
100% |
57611
684.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7418
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94996
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
149398
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
19909
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244407
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301064
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50954
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83839
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4941
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9628
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11445
197.8 IPS |
