SLIMBOOK Executive
Geekbench AI Score
1908
Single Precision Score
1903
Half Precision Score
1272
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | gerasy |
| Upload Date | May 27 2025 10:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | SLIMBOOK Executive |
| Motherboard | SLIMBOOK Executive |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1420
264.2 IPS |
|
|
Image Classification (Q)
|
99% |
939
175.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2482
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2482
2.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
2702
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (Q)
|
85% |
983
79.1 IPS |
|
|
Face Detection (SP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
2090
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2302
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2320
17.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1719
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2871
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2873
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
5154
6.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1146
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
397
533.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2023
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2006
34.6 IPS |
|
|
Machine Translation (Q)
|
58% |
535
12.6 IPS |
