Tactus Custom PC
Geekbench AI Score
20115
Single Precision Score
33363
Half Precision Score
12484
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 09:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Tactus Custom PC |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A WIFI D4 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7959
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12409
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
5736
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13867
224.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22456
364.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10679
173.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
105080
122.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
302302
352.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
84510
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
10743
852.2 IPS |
|
|
Object Detection (HP)
|
100% |
16967
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
7325
589.7 IPS |
|
|
Face Detection (SP)
|
100% |
23215
275.8 IPS |
|
|
Face Detection (HP)
|
100% |
39235
466.2 IPS |
|
|
Face Detection (Q)
|
97% |
16161
192.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
47863
368.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84676
652.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30729
246.1 IPS |
|
|
Style Transfer (SP)
|
100% |
180002
231.4 IPS |
|
|
Style Transfer (HP)
|
100% |
453017
582.4 IPS |
|
|
Style Transfer (Q)
|
98% |
137111
176.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32820
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45915
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17942
664.4 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4487
77.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1410
26.4 IPS |
