System manufacturer System Product Name
Geekbench AI Score
10533
Single Precision Score
10539
Half Precision Score
13357
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vhco |
| Upload Date | September 02 2024 02:14 AM |
| Views | 6 |
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 | 2.60 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6502
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6317
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
7686
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7272
117.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7307
118.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8777
142.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21048
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20921
24.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
35485
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
6071
481.6 IPS |
|
|
Object Detection (HP)
|
100% |
5911
468.8 IPS |
|
|
Object Detection (Q)
|
87% |
9083
728.5 IPS |
|
|
Face Detection (SP)
|
100% |
16233
192.9 IPS |
|
|
Face Detection (HP)
|
100% |
15977
189.8 IPS |
|
|
Face Detection (Q)
|
97% |
25995
310.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20068
154.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
20178
155.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
27463
217.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57448
73.9 IPS |
|
|
Style Transfer (HP)
|
100% |
62442
80.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90853
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11754
434.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11808
436.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15466
572.9 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (Q)
|
91% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (Q)
|
90% |
3437
59.7 IPS |
