Mac mini (Late 2018)
Geekbench AI Score
837
Single Precision Score
686
Half Precision Score
557
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | ririsid |
| Upload Date | August 31 2024 10:13 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.9 IPS |
|
|
Image Classification (Q)
|
99% |
301
56.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
100% |
285
4.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2061
2.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
1563
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
92% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
100% |
326
3.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
1328
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1031
7.94 IPS |
|
|
Depth Estimation (Q)
|
97% |
966
7.47 IPS |
|
|
Style Transfer (SP)
|
100% |
3478
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3150
4.05 IPS |
|
|
Style Transfer (Q)
|
100% |
3341
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
393
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.3 IPS |
|
|
Text Classification (HP)
|
100% |
475
633.8 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.1 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
98% |
553
9.55 IPS |
