Mac mini (2024)
Geekbench AI Score
5718
Single Precision Score
37241
Half Precision Score
49606
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | szuperp |
| Upload Date | March 23 2025 07:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
18076
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23347
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23543
381.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32116
520.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18829
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122796
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229206
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
20029
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24437
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
45168
536.7 IPS |
|
|
Face Detection (Q)
|
100% |
64064
761.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8739
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112658
868.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
178474
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35546
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236212
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303244
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7009
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46848
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78624
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5635
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16578
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16384
283.1 IPS |
