iPhone17,3
Geekbench AI Score
4318
Single Precision Score
33367
Half Precision Score
46162
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 09:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1949
362.4 IPS |
|
|
Image Classification (HP)
|
100% |
15833
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21681
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18123
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23934
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8461
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
153420
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
295366
346.2 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
16336
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22959
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
41273
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
56492
671.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7528
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95561
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161901
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22580
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245077
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302126
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51029
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84205
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4740
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4549
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10176
175.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11798
203.9 IPS |
