SZMZ X99-S3
Geekbench AI Score
9516
Single Precision Score
7774
Half Precision Score
7101
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 03:09 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 | SZMZ X99-S3 |
| Motherboard | SZMZ X99-S3 |
| Power Plan | QuickCpuScheme |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3886
722.7 IPS |
|
|
Image Classification (HP)
|
100% |
3720
691.9 IPS |
|
|
Image Classification (Q)
|
99% |
3167
590.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5980
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5150
83.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5191
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
43000
50.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26901
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
37751
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4926
390.7 IPS |
|
|
Object Detection (HP)
|
100% |
4592
364.3 IPS |
|
|
Object Detection (Q)
|
83% |
4073
329.1 IPS |
|
|
Face Detection (SP)
|
100% |
10644
126.5 IPS |
|
|
Face Detection (HP)
|
100% |
8954
106.4 IPS |
|
|
Face Detection (Q)
|
97% |
9019
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25231
194.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19056
146.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18742
149.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78093
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53886
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
66930
86.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15064
556.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11638
429.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10107
374.2 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (Q)
|
97% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2309
39.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1173
22.0 IPS |
