Apple Inc. Macmini8,1
Geekbench AI Score
1341
Single Precision Score
1329
Half Precision Score
818
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maf654321 |
| Upload Date | April 30 2025 02:57 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1054
196.1 IPS |
|
|
Image Classification (HP)
|
100% |
996
185.2 IPS |
|
|
Image Classification (Q)
|
99% |
491
91.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
578
9.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1544
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1543
1.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
1465
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.0 IPS |
|
|
Object Detection (HP)
|
100% |
1013
80.3 IPS |
|
|
Object Detection (Q)
|
85% |
569
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1598
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
1295
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1564
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1562
12.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1100
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1980
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1983
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3010
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
807
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
414
555.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (Q)
|
58% |
399
9.37 IPS |
