System manufacturer System Product Name
Geekbench AI Score
4990
Single Precision Score
1434
Half Precision Score
6713
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jrf12 |
| Upload Date | February 26 2025 11:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10980XE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X299 EDITION 30 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3847
715.5 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (Q)
|
99% |
6281
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2715
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18948
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10394
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
49547
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
3079
244.2 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
86% |
7273
584.5 IPS |
|
|
Face Detection (SP)
|
100% |
9241
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
9953
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12008
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1758
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16564
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31909
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21675
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29136
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2000
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3125
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.5 IPS |
|
|
Text Classification (Q)
|
97% |
927
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
65% |
2176
43.7 IPS |
