Generic
Geekbench AI Score
16799
Single Precision Score
25700
Half Precision Score
11571
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 14 2026 11:44 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% |
8224
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
10042
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
6275
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10657
172.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12186
197.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8746
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
48836
57.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
214379
250.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
41656
48.8 IPS |
|
|
Object Detection (SP)
|
100% |
10069
798.7 IPS |
|
|
Object Detection (HP)
|
100% |
11823
937.8 IPS |
|
|
Object Detection (Q)
|
87% |
8002
642.3 IPS |
|
|
Face Detection (SP)
|
100% |
18386
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
26413
313.8 IPS |
|
|
Face Detection (Q)
|
97% |
14580
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
58546
451.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85038
655.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
33489
268.4 IPS |
|
|
Style Transfer (SP)
|
100% |
181651
233.5 IPS |
|
|
Style Transfer (HP)
|
100% |
447611
575.4 IPS |
|
|
Style Transfer (Q)
|
98% |
122092
157.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27202
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45613
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15121
559.9 IPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1661
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1571
29.5 IPS |
