Mac mini (2023)
Geekbench AI Score
3461
Single Precision Score
27674
Half Precision Score
31640
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
13711
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
16295
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19275
312.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23981
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6858
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
106569
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106322
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
15702
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
18051
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33434
397.3 IPS |
|
|
Face Detection (Q)
|
100% |
43039
511.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87148
671.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109995
859.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18736
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204228
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
195026
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4136
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38917
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51860
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3754
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6863
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7461
128.9 IPS |
