System manufacturer System Product Name
Geekbench AI Score
8126
Single Precision Score
8186
Half Precision Score
10337
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 16 2024 10:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-7980XE CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF X299 MARK 2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5067
942.3 IPS |
|
|
Image Classification (HP)
|
100% |
5074
943.5 IPS |
|
|
Image Classification (Q)
|
100% |
6204
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5611
91.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5669
91.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6736
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16564
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16837
19.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
27591
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
4484
355.7 IPS |
|
|
Object Detection (HP)
|
100% |
4570
362.5 IPS |
|
|
Object Detection (Q)
|
87% |
6973
559.2 IPS |
|
|
Face Detection (SP)
|
100% |
12759
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
12719
151.1 IPS |
|
|
Face Detection (Q)
|
97% |
20415
243.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15066
116.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
14875
114.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
21162
167.8 IPS |
|
|
Style Transfer (SP)
|
100% |
46743
60.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48370
62.2 IPS |
|
|
Style Transfer (Q)
|
98% |
71257
91.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8803
325.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8939
330.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12077
447.4 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (Q)
|
91% |
1772
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (Q)
|
90% |
2630
45.7 IPS |
