ASUS All Series
Geekbench AI Score
1376
Single Precision Score
1367
Half Precision Score
932
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | December 28 2024 12:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v4 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-WS/IPMI |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
1287
239.4 IPS |
|
|
Image Classification (Q)
|
99% |
641
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1413
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
2414
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
85% |
700
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1538
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1302
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1306
10.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1309
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1363
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1364
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
3392
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
92% |
330
443.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (Q)
|
58% |
297
6.97 IPS |
