System manufacturer System Product Name
Geekbench AI Score
1608
Single Precision Score
728
Half Precision Score
1360
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | March 31 2026 03:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2689 0 @ 2.60GHz |
| 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(R) Xeon(R) CPU E5-2689 0 @ 2.60GHz |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
782
145.3 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
96% |
733
137.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1339
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
2440
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
58% |
774
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
2566
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3383
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1101
8.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
2559
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6242
8.02 IPS |
|
|
Style Transfer (HP)
|
100% |
4926
6.33 IPS |
|
|
Style Transfer (Q)
|
87% |
5014
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1170
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
345
460.9 IPS |
|
|
Text Classification (Q)
|
97% |
278
372.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1098
21.2 IPS |
