JGINYUE
Geekbench AI Score
342
Single Precision Score
341
Half Precision Score
1854
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | 46fy45 |
| Upload Date | November 17 2024 11:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697 v2 @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | JGINYUE |
| Motherboard | JGINYUE X79M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
100% |
1363
253.4 IPS |
|
|
Image Segmentation (SP)
|
29% |
78
16.2 IPS |
|
|
Image Segmentation (HP)
|
29% |
78
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1346
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1554
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
3617
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
87% |
1423
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
1984
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
4206
50.1 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
16.8 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
18.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3775
29.8 IPS |
|
|
Style Transfer (SP)
|
31% |
397
5.40 IPS |
|
|
Style Transfer (HP)
|
31% |
427
5.80 IPS |
|
|
Style Transfer (Q)
|
98% |
9506
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
998
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1514
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
594
792.7 IPS |
|
|
Text Classification (HP)
|
100% |
740
987.6 IPS |
|
|
Text Classification (Q)
|
91% |
288
387.2 IPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
100% |
775
13.4 IPS |
