Dell Inc. Precision Rack 7910
Geekbench AI Score
3696
Single Precision Score
3674
Half Precision Score
3670
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | EldeeGeekBench |
| Upload Date | January 31 2025 07:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2667 v3 @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Dell Inc. Precision Rack 7910 |
| Motherboard | Dell Inc. 01J90F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v3 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
1942
361.1 IPS |
|
|
Image Classification (Q)
|
100% |
2443
454.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2628
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2670
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2849
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4889
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4967
5.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
5877
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
100% |
2164
171.7 IPS |
|
|
Object Detection (Q)
|
87% |
2380
190.9 IPS |
|
|
Face Detection (SP)
|
100% |
5052
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
5169
61.4 IPS |
|
|
Face Detection (Q)
|
97% |
6955
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6173
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6205
47.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
6676
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14674
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14963
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16787
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2974
109.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3445
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (Q)
|
91% |
686
921.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2478
42.7 IPS |
