System manufacturer System Product Name
Geekbench AI Score
10264
Single Precision Score
10225
Half Precision Score
12597
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vhco |
| Upload Date | September 01 2024 11:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-7980XE CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG RAMPAGE VI EXTREME |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6093
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6297
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
7162
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7041
114.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7029
113.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8408
136.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21297
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21312
24.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
33316
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
5860
464.8 IPS |
|
|
Object Detection (HP)
|
100% |
5708
452.8 IPS |
|
|
Object Detection (Q)
|
87% |
8651
693.9 IPS |
|
|
Face Detection (SP)
|
100% |
16285
193.5 IPS |
|
|
Face Detection (HP)
|
100% |
16428
195.2 IPS |
|
|
Face Detection (Q)
|
97% |
24923
297.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19094
147.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
19004
146.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
25684
203.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61189
78.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60792
78.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84991
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11129
411.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11054
408.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14483
536.5 IPS |
|
|
Text Classification (SP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (Q)
|
91% |
2229
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4000
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4027
69.4 IPS |
|
|
Machine Translation (Q)
|
90% |
3302
57.4 IPS |
