System manufacturer System Product Name
Geekbench AI Score
1028
Single Precision Score
612
Half Precision Score
1303
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | W4RH34D |
| Upload Date | February 24 2026 11:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-980X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-980X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.33 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.6 IPS |
|
|
Image Classification (Q)
|
96% |
1073
200.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1196
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1345
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1276
1.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
2084
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
668
52.9 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
58% |
714
78.0 IPS |
|
|
Face Detection (SP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (Q)
|
96% |
1984
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1824
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
903
6.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
2181
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3415
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3480
4.47 IPS |
|
|
Style Transfer (Q)
|
87% |
3888
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1128
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
682
910.4 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.9 IPS |
|
|
Text Classification (Q)
|
97% |
365
488.6 IPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
68% |
1071
20.7 IPS |
