iPhone17,3
Geekbench AI Score
4321
Single Precision Score
32351
Half Precision Score
45473
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | October 19 2024 08:00 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (HP)
|
100% |
15372
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
22285
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14645
237.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18154
294.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8626
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153862
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293043
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
16382
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22779
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
41760
496.2 IPS |
|
|
Face Detection (Q)
|
100% |
56752
674.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7557
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95817
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163077
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22719
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245820
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303459
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50232
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86177
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4976
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9429
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11624
200.9 IPS |
