ASRock x99x Killer Fata1ity Generic
Geekbench AI Score
7007
Single Precision Score
7047
Half Precision Score
5259
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | klcs1998 |
| Upload Date | February 26 2025 05:41 PM |
| Views | 5 |
| Notes | E5-2650 v4 48GB |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99X Killer |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v4 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1878
349.3 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.4 IPS |
|
|
Image Classification (Q)
|
99% |
1693
315.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4117
66.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3605
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
52220
60.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
28734
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
42468
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
3770
299.0 IPS |
|
|
Object Detection (Q)
|
84% |
2088
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
7142
84.9 IPS |
|
|
Face Detection (Q)
|
97% |
4266
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16446
126.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15588
120.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12773
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
83093
106.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50024
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
65764
84.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13568
501.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11120
410.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9096
336.8 IPS |
|
|
Text Classification (SP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1744
2.33 KIPS |
|
|
Text Classification (Q)
|
97% |
801
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2113
36.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1147
21.5 IPS |
