iPhone17,3
Geekbench AI Score
4300
Single Precision Score
32497
Half Precision Score
45326
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KeviNW000 |
| Upload Date | November 10 2024 08:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1926
358.2 IPS |
|
|
Image Classification (HP)
|
100% |
15474
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21403
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18153
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23716
384.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8365
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
153538
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293948
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
16156
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22461
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
40017
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
53374
634.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7557
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95528
736.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162547
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22492
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245846
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304555
393.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50387
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83966
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3450
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4294
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9960
171.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11466
198.1 IPS |
