System manufacturer System Product Name
Geekbench AI Score
60
Single Precision Score
60
Half Precision Score
43
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | TyphooN |
| Upload Date | November 23 2025 10:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2687W v2 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. SABERTOOTH X79 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2687W v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
34
6.40 IPS |
|
|
Image Classification (HP)
|
100% |
34
6.40 IPS |
|
|
Image Classification (Q)
|
97% |
27
4.95 IPS |
|
|
Image Segmentation (SP)
|
100% |
47
0.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
47
0.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
35
0.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
44
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.65 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.65 IPS |
|
|
Object Detection (Q)
|
87% |
26
2.05 IPS |
|
|
Face Detection (SP)
|
100% |
112
1.33 IPS |
|
|
Face Detection (HP)
|
100% |
112
1.33 IPS |
|
|
Face Detection (Q)
|
97% |
84
1.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
81
0.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
81
0.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
52
0.48 IPS |
|
|
Style Transfer (SP)
|
100% |
172
0.22 IPS |
|
|
Style Transfer (HP)
|
100% |
172
0.22 IPS |
|
|
Style Transfer (Q)
|
98% |
134
0.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36
1.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36
1.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
28
1.02 IPS |
|
|
Text Classification (SP)
|
100% |
45
59.9 IPS |
|
|
Text Classification (HP)
|
100% |
45
59.7 IPS |
|
|
Text Classification (Q)
|
91% |
31
42.1 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
58% |
42
0.99 IPS |
