ASUSTeK COMPUTER INC. D830MT
Geekbench AI Score
5269
Single Precision Score
5308
Half Precision Score
4055
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ArnorChen |
| Upload Date | March 09 2026 08:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. D830MT |
| Motherboard | ASUSTeK COMPUTER INC. D830MT |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (HP)
|
100% |
2124
394.9 IPS |
|
|
Image Classification (Q)
|
99% |
1037
193.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2860
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
36666
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17963
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29991
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
2985
236.8 IPS |
|
|
Object Detection (Q)
|
83% |
1678
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
5171
61.4 IPS |
|
|
Face Detection (Q)
|
97% |
3384
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10884
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11051
85.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9627
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56325
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33886
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43711
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7602
280.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6686
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (Q)
|
97% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2310
39.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1116
20.9 IPS |
