ASUS System Product Name
Geekbench AI Score
12134
Single Precision Score
20478
Half Precision Score
8283
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | laidbackdev |
| Upload Date | November 06 2024 05:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-K D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5076
944.0 IPS |
|
|
Image Classification (HP)
|
100% |
8557
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
3688
685.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8077
130.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10859
176.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6663
108.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
57732
67.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
191285
223.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
49701
58.2 IPS |
|
|
Object Detection (SP)
|
100% |
6158
488.5 IPS |
|
|
Object Detection (HP)
|
100% |
10353
821.2 IPS |
|
|
Object Detection (Q)
|
89% |
4352
348.3 IPS |
|
|
Face Detection (SP)
|
100% |
13798
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
20549
244.2 IPS |
|
|
Face Detection (Q)
|
97% |
10833
129.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31335
241.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56937
438.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
21155
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
106545
137.0 IPS |
|
|
Style Transfer (HP)
|
100% |
249423
320.6 IPS |
|
|
Style Transfer (Q)
|
98% |
87234
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18771
693.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29735
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11655
431.6 IPS |
|
|
Text Classification (SP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
2826
3.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1131
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1086
24.2 IPS |
