Generic
Geekbench AI Score
16887
Single Precision Score
25558
Half Precision Score
11626
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 14 2026 11:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z97M Anniversary |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8459
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
10436
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
6439
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10368
168.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12089
196.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8410
136.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
48792
56.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
208775
243.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
41700
48.9 IPS |
|
|
Object Detection (SP)
|
100% |
9956
789.7 IPS |
|
|
Object Detection (HP)
|
100% |
11572
917.9 IPS |
|
|
Object Detection (Q)
|
87% |
7990
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
21305
253.1 IPS |
|
|
Face Detection (HP)
|
100% |
24241
288.0 IPS |
|
|
Face Detection (Q)
|
97% |
15288
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
57703
444.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84935
654.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
33960
272.2 IPS |
|
|
Style Transfer (SP)
|
100% |
183139
235.4 IPS |
|
|
Style Transfer (HP)
|
100% |
460004
591.3 IPS |
|
|
Style Transfer (Q)
|
98% |
123898
159.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26540
980.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45813
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14795
547.8 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2559
44.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1581
29.6 IPS |
