ZOTAC ZBOX-ECM73070C/53060C
Geekbench AI Score
11393
Single Precision Score
18132
Half Precision Score
7921
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | oleker |
| Upload Date | August 18 2024 06:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ZOTAC ZBOX-ECM73070C/53060C |
| Motherboard | ZOTAC ZBOX-ECM73070C/53060C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700F |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4502
837.2 IPS |
|
|
Image Classification (HP)
|
100% |
7177
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
3350
622.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7440
120.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9321
151.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6072
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
62737
73.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177994
207.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
52527
61.5 IPS |
|
|
Object Detection (SP)
|
100% |
5560
441.0 IPS |
|
|
Object Detection (HP)
|
100% |
8764
695.2 IPS |
|
|
Object Detection (Q)
|
89% |
4313
345.2 IPS |
|
|
Face Detection (SP)
|
100% |
12741
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
18690
222.1 IPS |
|
|
Face Detection (Q)
|
97% |
10106
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29482
227.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51770
398.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
19653
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
104403
134.2 IPS |
|
|
Style Transfer (HP)
|
100% |
236987
304.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86313
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20354
751.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28959
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12589
466.2 IPS |
|
|
Text Classification (SP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (HP)
|
99% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1018
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2365
40.7 IPS |
|
|
Machine Translation (Q)
|
60% |
961
21.4 IPS |
