Mac mini (Late 2018)
Geekbench AI Score
1959
Single Precision Score
2114
Half Precision Score
1327
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 10:40 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| 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 |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
99% |
537
100.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (Q)
|
100% |
269
4.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
3787
4.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
6767
7.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
1662
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
94% |
136
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1638
19.5 IPS |
|
|
Face Detection (Q)
|
100% |
257
3.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
19173
147.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23466
180.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
23410
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
64955
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66602
85.6 IPS |
|
|
Style Transfer (Q)
|
100% |
67547
86.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8545
315.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12738
470.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11959
443.1 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.8 IPS |
|
|
Text Classification (HP)
|
100% |
463
618.1 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.5 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (Q)
|
98% |
301
5.20 IPS |
