Generic
Geekbench AI Score
16598
Single Precision Score
30557
Half Precision Score
31268
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 14 2026 11:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| 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% |
8312
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
14202
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
13250
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13340
216.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19026
308.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19492
316.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
78707
91.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
300734
350.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
507381
594.0 IPS |
|
|
Object Detection (SP)
|
100% |
7001
555.3 IPS |
|
|
Object Detection (HP)
|
100% |
16412
1.30 KIPS |
|
|
Object Detection (Q)
|
88% |
15639
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
18330
217.8 IPS |
|
|
Face Detection (HP)
|
100% |
37101
440.8 IPS |
|
|
Face Detection (Q)
|
100% |
40088
476.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53350
411.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98462
758.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
90114
700.8 IPS |
|
|
Style Transfer (SP)
|
100% |
189479
243.6 IPS |
|
|
Style Transfer (HP)
|
100% |
565773
727.3 IPS |
|
|
Style Transfer (Q)
|
98% |
742871
957.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26871
992.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43393
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44050
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2651
45.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2661
45.8 IPS |
