Generic
Geekbench AI Score
1771
Single Precision Score
837
Half Precision Score
2263
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | March 01 2025 09:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1225 v5 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock E3V5 Performance Gaming/OC |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1225 v5 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (Q)
|
96% |
1838
343.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2746
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2236
2.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
4533
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
58% |
1342
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
3585
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3467
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1143
8.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
4338
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6470
8.32 IPS |
|
|
Style Transfer (HP)
|
100% |
4925
6.33 IPS |
|
|
Style Transfer (Q)
|
87% |
7993
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1562
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.0 IPS |
|
|
Text Classification (Q)
|
97% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
68% |
1418
27.4 IPS |
