Mac mini (2023)
Geekbench AI Score
3492
Single Precision Score
27135
Half Precision Score
29702
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | March 09 2025 02:25 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
15103
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
15950
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19546
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24156
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6908
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
106394
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106423
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
16539
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
17990
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
34088
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
39420
468.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5838
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88481
681.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112116
876.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18844
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203638
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194734
251.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4121
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42356
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51023
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4226
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4354
75.2 IPS |
