iPhone17,1
Geekbench AI Score
4655
Single Precision Score
32666
Half Precision Score
45197
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pmacutay |
| Upload Date | November 10 2024 12:13 PM |
| Views | 3 |
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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
15089
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19069
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18357
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24215
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9373
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154399
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294924
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
16281
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22594
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
41279
490.5 IPS |
|
|
Face Detection (Q)
|
100% |
57343
681.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8115
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95439
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160305
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24808
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244718
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301490
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50598
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84881
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4333
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4328
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9401
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11357
196.3 IPS |
