KLLISRE
Geekbench AI Score
9207
Single Precision Score
7424
Half Precision Score
6796
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | KLLISRE |
| Motherboard | KLLISRE X99-F4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3447
641.1 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.4 IPS |
|
|
Image Classification (Q)
|
99% |
2913
543.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6739
109.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5487
88.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5660
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
41083
47.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25335
29.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
36036
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
4621
366.5 IPS |
|
|
Object Detection (HP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (Q)
|
83% |
3829
309.4 IPS |
|
|
Face Detection (SP)
|
100% |
10648
126.5 IPS |
|
|
Face Detection (HP)
|
100% |
8795
104.5 IPS |
|
|
Face Detection (Q)
|
97% |
9303
110.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23021
177.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17534
135.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17197
137.2 IPS |
|
|
Style Transfer (SP)
|
100% |
73101
94.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49496
63.6 IPS |
|
|
Style Transfer (Q)
|
98% |
61444
79.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13751
507.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10680
394.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9282
343.7 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2898
50.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1255
23.5 IPS |
