ASUS System Product Name
Geekbench AI Score
7755
Single Precision Score
7750
Half Precision Score
17423
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | October 13 2024 10:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5238
974.1 IPS |
|
|
Image Classification (HP)
|
100% |
5150
957.8 IPS |
|
|
Image Classification (Q)
|
100% |
10467
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5947
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6040
97.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10410
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10407
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10407
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
37801
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
5059
401.3 IPS |
|
|
Object Detection (HP)
|
100% |
4977
394.8 IPS |
|
|
Object Detection (Q)
|
88% |
11401
914.0 IPS |
|
|
Face Detection (SP)
|
100% |
15600
185.4 IPS |
|
|
Face Detection (HP)
|
100% |
15611
185.5 IPS |
|
|
Face Detection (Q)
|
100% |
28186
334.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13519
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13557
104.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
32167
250.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31131
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31168
40.1 IPS |
|
|
Style Transfer (Q)
|
98% |
103794
133.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6480
239.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6469
238.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19135
708.6 IPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5202
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5943
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5978
103.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5861
101.0 IPS |
