System manufacturer System Product Name
Geekbench AI Score
1506
Single Precision Score
537
Half Precision Score
1155
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | November 02 2025 10:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2651 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 E5-2651 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
96% |
1046
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2520
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1772
2.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
2369
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
58% |
765
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (Q)
|
96% |
2261
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3127
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
753
5.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
2296
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5935
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
4672
6.01 IPS |
|
|
Style Transfer (Q)
|
87% |
4519
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
837
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.4 IPS |
|
|
Text Classification (HP)
|
100% |
220
294.3 IPS |
|
|
Text Classification (Q)
|
97% |
199
266.6 IPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
68% |
889
17.2 IPS |
