Default string NVIB 6604
Geekbench AI Score
9557
Single Precision Score
7742
Half Precision Score
6824
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 03:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Default string NVIB 6604 |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900E |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3768
700.7 IPS |
|
|
Image Classification (HP)
|
100% |
3641
677.1 IPS |
|
|
Image Classification (Q)
|
100% |
3004
558.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6565
106.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5443
88.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5645
91.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
40959
47.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25470
29.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
35890
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4824
382.6 IPS |
|
|
Object Detection (HP)
|
100% |
4483
355.6 IPS |
|
|
Object Detection (Q)
|
89% |
3857
308.9 IPS |
|
|
Face Detection (SP)
|
100% |
10272
122.1 IPS |
|
|
Face Detection (HP)
|
100% |
8784
104.4 IPS |
|
|
Face Detection (Q)
|
97% |
8328
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22739
175.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17630
135.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
16498
135.4 IPS |
|
|
Style Transfer (SP)
|
100% |
74059
95.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50509
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
63093
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14763
545.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10996
406.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9521
352.6 IPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2752
47.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1058
23.6 IPS |
