Mac mini (2024)
Geekbench AI Score
5380
Single Precision Score
37196
Half Precision Score
50443
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | April 08 2025 02:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
17531
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22318
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23210
376.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32102
520.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17389
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122881
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231084
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
20191
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24618
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
44974
534.4 IPS |
|
|
Face Detection (Q)
|
100% |
63181
750.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112202
864.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
181299
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25068
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
239375
307.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303367
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47583
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79228
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5366
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5694
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16283
280.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16375
283.0 IPS |
