Generic
Geekbench AI Score
1910
Single Precision Score
905
Half Precision Score
2120
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 19 2025 12:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1260L v5 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H110 Pro BTC+ |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1260L v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
349
65.0 IPS |
|
|
Image Classification (Q)
|
96% |
1976
368.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2936
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
4665
5.52 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
58% |
1294
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
3748
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3806
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1254
9.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
4896
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6951
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
5482
7.05 IPS |
|
|
Style Transfer (Q)
|
87% |
8633
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1672
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.3 IPS |
|
|
Text Classification (Q)
|
97% |
367
491.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1401
27.1 IPS |
