Mac mini (Late 2018)
Geekbench AI Score
839
Single Precision Score
677
Half Precision Score
543
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Merlin12 |
| Upload Date | August 16 2024 12:53 PM |
| Views | 6 |
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% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
285
53.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
100% |
289
4.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
1479
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
92% |
206
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (Q)
|
100% |
332
3.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
1311
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1049
8.08 IPS |
|
|
Depth Estimation (Q)
|
97% |
880
6.81 IPS |
|
|
Style Transfer (SP)
|
100% |
3349
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3201
4.12 IPS |
|
|
Style Transfer (Q)
|
100% |
3160
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
377
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.5 IPS |
|
|
Text Classification (HP)
|
100% |
459
613.0 IPS |
|
|
Text Classification (Q)
|
93% |
462
620.1 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
98% |
558
9.64 IPS |
