System manufacturer System Product Name
Geekbench AI Score
5526
Single Precision Score
5685
Half Precision Score
4177
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | lcsj65 |
| Upload Date | February 24 2026 04:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4930K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (Q)
|
100% |
1419
264.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2446
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47002
54.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49561
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
39662
46.5 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (Q)
|
86% |
1775
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
5025
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
97% |
4500
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13123
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14012
108.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
10592
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
74404
95.6 IPS |
|
|
Style Transfer (HP)
|
100% |
77267
99.3 IPS |
|
|
Style Transfer (Q)
|
98% |
57816
74.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12058
445.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10233
377.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7442
275.6 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
556
745.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1408
24.3 IPS |
|
|
Machine Translation (Q)
|
70% |
581
10.9 IPS |
