Mac mini (Late 2018)
Geekbench AI Score
614
Single Precision Score
459
Half Precision Score
325
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Mulva |
| Upload Date | February 01 2025 07:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
96% |
130
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
189
3.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
466
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
92% |
150
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (Q)
|
100% |
252
3.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
923
7.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
85% |
513
4.01 IPS |
|
|
Style Transfer (SP)
|
100% |
2481
3.19 IPS |
|
|
Style Transfer (HP)
|
100% |
1809
2.33 IPS |
|
|
Style Transfer (Q)
|
96% |
1464
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
386
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
276
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.7 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.3 IPS |
|
|
Text Classification (Q)
|
93% |
376
504.9 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
98% |
397
6.86 IPS |
