Macmini8,1
Geekbench AI Score
809
Single Precision Score
108
Half Precision Score
87
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 31 2026 01:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | Macmini8,1 |
| Model ID | Macmini8,1 |
| Motherboard | SYWZ Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2282
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
100% |
272
3.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
1242
9.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
1067
8.22 IPS |
|
|
Depth Estimation (Q)
|
85% |
700
5.47 IPS |
|
|
Style Transfer (SP)
|
100% |
3234
4.16 IPS |
|
|
Style Transfer (HP)
|
100% |
2775
3.57 IPS |
|
|
Style Transfer (Q)
|
96% |
2224
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1371
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
484
645.8 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.9 IPS |
|
|
Text Classification (Q)
|
93% |
480
644.2 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (Q)
|
98% |
540
9.33 IPS |
