Mac mini (2023)
Geekbench AI Score
10064
Single Precision Score
10968
Half Precision Score
9371
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | prondtoo |
| Upload Date | November 03 2024 02:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.45 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (HP)
|
100% |
5247
975.7 IPS |
|
|
Image Classification (Q)
|
97% |
4380
817.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7291
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7290
118.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7167
116.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36949
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
39341
45.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
36542
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
4827
382.9 IPS |
|
|
Object Detection (HP)
|
100% |
4911
389.5 IPS |
|
|
Object Detection (Q)
|
91% |
4263
340.7 IPS |
|
|
Face Detection (SP)
|
100% |
16416
195.1 IPS |
|
|
Face Detection (HP)
|
100% |
17175
204.1 IPS |
|
|
Face Detection (Q)
|
100% |
12588
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24478
188.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24868
191.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20492
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
68235
87.7 IPS |
|
|
Style Transfer (HP)
|
100% |
74544
95.8 IPS |
|
|
Style Transfer (Q)
|
96% |
69332
89.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13216
488.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14389
531.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10941
404.0 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1378
23.8 IPS |
