Mac mini (2023)
Geekbench AI Score
8462
Single Precision Score
9732
Half Precision Score
7813
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | umoms69 |
| Upload Date | September 27 2024 09:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5060
940.9 IPS |
|
|
Image Classification (HP)
|
100% |
5110
950.3 IPS |
|
|
Image Classification (Q)
|
99% |
5117
954.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7274
117.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7153
116.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
7106
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37168
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39334
45.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
35750
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
3235
256.6 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.7 IPS |
|
|
Object Detection (Q)
|
91% |
4144
331.1 IPS |
|
|
Face Detection (SP)
|
100% |
9803
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
17204
204.4 IPS |
|
|
Face Detection (Q)
|
100% |
12392
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24788
191.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25105
193.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
4119
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
68414
87.9 IPS |
|
|
Style Transfer (HP)
|
100% |
74383
95.6 IPS |
|
|
Style Transfer (Q)
|
100% |
74520
95.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13365
493.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13807
509.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10629
393.8 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3801
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
