ASUS System Product Name
Geekbench AI Score
21380
Single Precision Score
33379
Half Precision Score
13138
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | May 14 2025 02:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z590-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7775
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
12217
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
5314
988.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
15029
243.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21268
344.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11272
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
131513
153.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
359139
419.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
103374
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
10807
857.2 IPS |
|
|
Object Detection (HP)
|
100% |
15533
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
7352
591.4 IPS |
|
|
Face Detection (SP)
|
100% |
28372
337.1 IPS |
|
|
Face Detection (HP)
|
100% |
41874
497.6 IPS |
|
|
Face Detection (Q)
|
97% |
19612
233.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
56374
434.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95627
736.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34377
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
234365
301.3 IPS |
|
|
Style Transfer (HP)
|
100% |
543924
699.2 IPS |
|
|
Style Transfer (Q)
|
98% |
171801
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29494
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42280
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17581
651.0 IPS |
|
|
Text Classification (SP)
|
100% |
2724
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3461
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1156
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3991
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1430
26.8 IPS |
