ZOTAC ZBOX-EN374070C
Geekbench ML Score
14395
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 05:06 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home N (64-bit) |
| Model | ZOTAC ZBOX-EN374070C |
| Motherboard | ZOTAC ZBOX-EN374070C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6093
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6397
1.20 KIPS |
|
|
Image Classification (I8)
|
100% |
5704
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9643
161.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
9615
160.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
8924
149.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
103312
125.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
103734
125.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
89914
108.9 IPS |
|
|
Object Detection (F32)
|
100% |
5266
393.1 IPS |
|
|
Object Detection (F16)
|
100% |
5419
404.6 IPS |
|
|
Object Detection (I8)
|
63% |
5175
386.3 IPS |
|
|
Face Detection (F32)
|
100% |
16315
194.0 IPS |
|
|
Face Detection (F16)
|
100% |
18079
215.0 IPS |
|
|
Face Detection (I8)
|
89% |
14424
171.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
43042
333.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
41890
324.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
33413
259.1 IPS |
|
|
Style Transfer (F32)
|
100% |
153018
201.3 IPS |
|
|
Style Transfer (F16)
|
100% |
156049
205.3 IPS |
|
|
Style Transfer (I8)
|
98% |
137691
181.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30371
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27496
982.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
22305
796.6 IPS |
|
|
Text Classification (F32)
|
100% |
2624
3.77 KIPS |
|
|
Text Classification (F16)
|
100% |
2674
3.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1504
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2792
51.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2685
49.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1716
31.6 IPS |
