iPhone17,2
Geekbench AI Score
4434
Single Precision Score
32913
Half Precision Score
46569
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 02:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
15366
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20198
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18335
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24163
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8556
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
153242
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293681
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2097
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
16523
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23238
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3563
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
38348
455.7 IPS |
|
|
Face Detection (Q)
|
100% |
60411
717.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7521
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95483
735.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161698
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23251
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245199
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303725
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50762
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85224
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4694
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4998
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9776
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11397
197.0 IPS |
