Mac mini (Late 2018)
Geekbench AI Score
835
Single Precision Score
684
Half Precision Score
487
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | gundar |
| Upload Date | September 10 2024 02:55 AM |
| Views | 5 |
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% |
405
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.5 IPS |
|
|
Image Classification (Q)
|
96% |
179
33.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
247
4.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1442
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (Q)
|
92% |
206
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (Q)
|
100% |
328
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1351
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1058
8.15 IPS |
|
|
Depth Estimation (Q)
|
86% |
691
5.40 IPS |
|
|
Style Transfer (SP)
|
100% |
3415
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3198
4.11 IPS |
|
|
Style Transfer (Q)
|
96% |
2474
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
469
626.1 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.0 IPS |
|
|
Text Classification (Q)
|
93% |
449
603.1 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (Q)
|
98% |
573
9.91 IPS |
