System manufacturer System Product Name
Geekbench AI Score
3071
Single Precision Score
880
Half Precision Score
3846
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 6un9-H0 |
| Upload Date | April 03 2025 09:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-7980XE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2835
527.3 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
96% |
3580
668.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5299
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4620
5.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
15621
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
58% |
3414
373.0 IPS |
|
|
Face Detection (SP)
|
100% |
6429
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.43 IPS |
|
|
Face Detection (Q)
|
96% |
6883
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8903
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
10145
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17516
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10485
13.5 IPS |
|
|
Style Transfer (Q)
|
87% |
16638
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1753
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.5 IPS |
|
|
Text Classification (Q)
|
97% |
727
973.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1744
33.7 IPS |
