System76 Gazelle
Geekbench AI Score
5335
Single Precision Score
5389
Half Precision Score
13991
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 08:00 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
3646
678.0 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.6 IPS |
|
|
Image Classification (Q)
|
100% |
9138
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3704
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3672
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6682
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
25730
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3156
250.3 IPS |
|
|
Object Detection (HP)
|
100% |
3268
259.3 IPS |
|
|
Object Detection (Q)
|
88% |
9758
782.3 IPS |
|
|
Face Detection (SP)
|
100% |
7614
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
23344
277.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8428
64.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
8509
65.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
26739
211.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17613
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17996
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
69161
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4193
154.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13997
518.4 IPS |
|
|
Text Classification (SP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (Q)
|
92% |
4905
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (Q)
|
85% |
6328
110.7 IPS |
