Apple Inc. Macmini8,1
Geekbench AI Score
2202
Single Precision Score
986
Half Precision Score
2286
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | September 06 2024 05:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
1866
348.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
1483
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3986
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
6983
8.25 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
86% |
1304
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
2880
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4625
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1324
10.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3954
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9739
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7660
9.85 IPS |
|
|
Style Transfer (Q)
|
87% |
11020
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2122
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.1 IPS |
|
|
Text Classification (Q)
|
97% |
409
547.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
60% |
1425
31.8 IPS |
