iPhone17,1
Geekbench AI Score
4620
Single Precision Score
33111
Half Precision Score
45898
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | November 12 2024 05:04 PM |
| Views | 10 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
15058
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20229
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18395
298.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24234
392.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9321
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153847
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294430
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2166
171.8 IPS |
|
|
Object Detection (HP)
|
100% |
16302
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22519
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
41123
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
57753
686.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8050
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95283
734.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160924
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24922
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245909
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301806
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51052
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85130
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4949
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4691
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9368
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11396
196.9 IPS |
