System manufacturer System Product Name
Geekbench AI Score
883
Single Precision Score
446
Half Precision Score
712
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | November 05 2025 06:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2609 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 E5-2609 v2 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
96% |
545
101.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
427
6.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
1165
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
916
1.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
1080
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
58% |
389
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
590
7.02 IPS |
|
|
Face Detection (Q)
|
96% |
1269
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1467
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
1251
9.96 IPS |
|
|
Style Transfer (SP)
|
100% |
2912
3.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2278
2.93 IPS |
|
|
Style Transfer (Q)
|
87% |
2525
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
545
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.9 IPS |
|
|
Text Classification (HP)
|
100% |
245
326.9 IPS |
|
|
Text Classification (Q)
|
97% |
222
297.9 IPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
68% |
710
13.7 IPS |
