System manufacturer System Product Name
Geekbench AI Score
792
Single Precision Score
405
Half Precision Score
625
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | January 21 2026 06:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2609 |
| 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 E5-2609 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (Q)
|
96% |
454
84.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
497
8.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
808
0.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
924
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
58% |
330
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
508
6.04 IPS |
|
|
Face Detection (Q)
|
96% |
1071
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1327
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
602
4.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
1025
8.16 IPS |
|
|
Style Transfer (SP)
|
100% |
2546
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2004
2.58 IPS |
|
|
Style Transfer (Q)
|
87% |
2128
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
443
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
510
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.5 IPS |
|
|
Text Classification (HP)
|
100% |
222
295.8 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.1 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
68% |
607
11.7 IPS |
