System manufacturer System Product Name
Geekbench AI Score
1532
Single Precision Score
729
Half Precision Score
1428
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | December 21 2025 06:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2650 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 E5-2650 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
640
119.1 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (Q)
|
96% |
1070
199.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1368
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2598
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1909
2.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
2475
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
58% |
802
87.7 IPS |
|
|
Face Detection (SP)
|
100% |
2619
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
837
9.95 IPS |
|
|
Face Detection (Q)
|
96% |
2344
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3375
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1082
8.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
2601
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6170
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
4965
6.38 IPS |
|
|
Style Transfer (Q)
|
87% |
4979
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1224
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
369
492.9 IPS |
|
|
Text Classification (Q)
|
97% |
294
393.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
68% |
1116
21.6 IPS |
