System manufacturer System Product Name
Geekbench AI Score
1003
Single Precision Score
464
Half Precision Score
833
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | April 09 2026 04:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 |
| 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 E5-2620 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
722
134.3 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
96% |
644
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
734
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1381
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1042
1.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
1340
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
58% |
452
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
1948
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (Q)
|
96% |
1471
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1771
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
679
5.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
1445
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3400
4.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2688
3.46 IPS |
|
|
Style Transfer (Q)
|
87% |
2919
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
680
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.2 IPS |
|
|
Text Classification (HP)
|
100% |
226
302.0 IPS |
|
|
Text Classification (Q)
|
97% |
189
252.8 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
68% |
712
13.8 IPS |
