Default string Default string
Geekbench AI Score
2788
Single Precision Score
1093
Half Precision Score
2923
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
2912
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5065
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4020
4.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
5468
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
58% |
1644
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
3813
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
4666
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6352
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1508
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5623
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11389
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9072
11.7 IPS |
|
|
Style Transfer (Q)
|
87% |
9033
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2316
85.8 IPS |
|
|
Text Classification (SP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
540
721.4 IPS |
|
|
Text Classification (Q)
|
97% |
859
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
68% |
1581
30.5 IPS |
