System76 Gazelle
Geekbench AI Score
2291
Single Precision Score
2276
Half Precision Score
1282
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 07:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System76 Gazelle |
| Motherboard | System76 Gazelle |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1813
337.1 IPS |
|
|
Image Classification (HP)
|
100% |
1804
335.5 IPS |
|
|
Image Classification (Q)
|
99% |
915
170.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
900
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2654
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2199
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (Q)
|
86% |
792
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
2044
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2620
20.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
1959
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2830
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2851
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4595
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1224
45.3 IPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
636
854.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (Q)
|
58% |
584
13.7 IPS |
