Micro-Star International Co., Ltd. Raider GE68 HX 14VIG
Geekbench AI Score
2951
Single Precision Score
2913
Half Precision Score
1996
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 02 2025 12:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. Raider GE68 HX 14VIG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.1 IPS |
|
|
Image Classification (Q)
|
99% |
1197
223.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3429
55.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3411
55.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1501
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4186
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4199
4.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
4903
5.74 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (Q)
|
85% |
1667
134.2 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (Q)
|
97% |
3126
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3742
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3778
29.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2617
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4765
6.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4758
6.12 IPS |
|
|
Style Transfer (Q)
|
98% |
8123
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2035
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2078
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
715
960.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (Q)
|
58% |
693
16.3 IPS |
