Mac mini (Late 2018)
Geekbench AI Score
2204
Single Precision Score
2424
Half Precision Score
1326
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | November 24 2024 10:52 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6800 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
561
104.4 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
96% |
149
27.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
189
3.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3669
4.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
6577
7.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1865
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
94% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (Q)
|
100% |
250
2.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
28484
219.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
30185
232.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
28182
220.2 IPS |
|
|
Style Transfer (SP)
|
100% |
124271
159.8 IPS |
|
|
Style Transfer (HP)
|
100% |
123132
158.3 IPS |
|
|
Style Transfer (Q)
|
96% |
146742
189.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9190
339.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16278
601.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15012
554.3 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.3 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.5 IPS |
|
|
Text Classification (Q)
|
93% |
428
574.2 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
98% |
313
5.41 IPS |
