iPhone17,1
Geekbench AI Score
4447
Single Precision Score
32798
Half Precision Score
45956
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 09:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
15229
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20255
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18325
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24121
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8470
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
150352
175.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292975
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.3 IPS |
|
|
Object Detection (HP)
|
100% |
16420
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22862
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
41267
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
57585
684.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7588
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95160
733.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161246
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23067
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244631
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300955
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5503
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50183
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85835
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4674
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9383
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11454
197.9 IPS |
