Gigabyte Technology Co., Ltd. Default string
Geekbench AI Score
7225
Single Precision Score
7708
Half Precision Score
5250
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | January 09 2026 04:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Default string |
| Motherboard | Gigabyte Technology Co., Ltd. X99-UD5 WIFI-CF |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-4669 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2740
509.6 IPS |
|
|
Image Classification (HP)
|
100% |
3186
592.5 IPS |
|
|
Image Classification (Q)
|
100% |
2174
404.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3863
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4141
67.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3251
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46651
54.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49826
58.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
38726
45.4 IPS |
|
|
Object Detection (SP)
|
100% |
3090
245.1 IPS |
|
|
Object Detection (HP)
|
100% |
3196
253.5 IPS |
|
|
Object Detection (Q)
|
88% |
2643
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
8617
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
11052
131.3 IPS |
|
|
Face Detection (Q)
|
97% |
7081
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17690
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19543
151.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12997
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78711
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82772
106.4 IPS |
|
|
Style Transfer (Q)
|
98% |
60320
77.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11341
418.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12121
447.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7313
270.8 IPS |
|
|
Text Classification (SP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
622
833.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1909
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
871
16.3 IPS |
