Mac mini (2023)
Geekbench AI Score
2198
Single Precision Score
19088
Half Precision Score
20689
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jankkhvej |
| Upload Date | May 12 2025 08:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
859
159.8 IPS |
|
|
Image Classification (HP)
|
100% |
11418
2.12 KIPS |
|
|
Image Classification (Q)
|
96% |
12576
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14460
234.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17868
289.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4136
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
69077
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67476
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (HP)
|
99% |
12256
975.0 IPS |
|
|
Object Detection (Q)
|
91% |
12688
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
22578
268.3 IPS |
|
|
Face Detection (Q)
|
100% |
26951
320.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3478
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
63025
485.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
76183
595.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11234
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
142500
183.2 IPS |
|
|
Style Transfer (Q)
|
96% |
134532
173.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29895
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35295
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2485
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3083
53.3 IPS |
