iPhone17,1
Geekbench AI Score
4552
Single Precision Score
32892
Half Precision Score
46054
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | November 28 2024 12:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
15445
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21531
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18325
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24031
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8686
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152839
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291351
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
16376
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22582
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
41269
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
57299
680.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7916
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95430
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161912
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24338
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244625
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302430
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50722
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84940
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4633
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9345
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11421
197.4 IPS |
