System manufacturer System Product Name
Geekbench AI Score
1209
Single Precision Score
540
Half Precision Score
995
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | November 15 2025 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630L v2 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV FORMULA |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630L v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
875
162.7 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.7 IPS |
|
|
Image Classification (Q)
|
96% |
813
151.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
593
9.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
1661
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1246
1.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
1662
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
58% |
568
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
2298
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.18 IPS |
|
|
Face Detection (Q)
|
96% |
1878
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2146
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
785
6.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
1815
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4128
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3242
4.17 IPS |
|
|
Style Transfer (Q)
|
87% |
3720
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
760
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.5 IPS |
|
|
Text Classification (HP)
|
100% |
265
354.1 IPS |
|
|
Text Classification (Q)
|
97% |
244
327.2 IPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (Q)
|
68% |
893
17.2 IPS |
