ASUS System Product Name
Geekbench AI Score
17017
Single Precision Score
27022
Half Precision Score
10797
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. EX-B660M-V5 PRO D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| 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% |
6906
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
10404
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
4667
868.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9986
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13582
220.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8061
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
98131
114.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
277853
324.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
79325
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
9020
715.5 IPS |
|
|
Object Detection (HP)
|
100% |
13601
1.08 KIPS |
|
|
Object Detection (Q)
|
88% |
6061
486.1 IPS |
|
|
Face Detection (SP)
|
100% |
17797
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
26393
313.6 IPS |
|
|
Face Detection (Q)
|
97% |
13131
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44134
340.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77647
598.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
27747
223.5 IPS |
|
|
Style Transfer (SP)
|
100% |
165169
212.3 IPS |
|
|
Style Transfer (HP)
|
100% |
421406
541.7 IPS |
|
|
Style Transfer (Q)
|
98% |
129921
167.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30809
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41567
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17279
639.8 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1317
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3008
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3011
51.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1105
24.6 IPS |
