System76 Gazelle
Geekbench AI Score
3648
Single Precision Score
945
Half Precision Score
5235
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 07:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2471
459.5 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
97% |
4247
792.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
3166
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6411
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4805
5.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
20874
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.4 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
88% |
2419
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (Q)
|
97% |
5566
66.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7601
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1220
9.40 IPS |
|
|
Depth Estimation (Q)
|
76% |
8933
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15024
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12288
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21166
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2371
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4716
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.4 IPS |
|
|
Text Classification (Q)
|
97% |
1702
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (Q)
|
60% |
2696
60.1 IPS |
