Mac mini (2024)
Geekbench AI Score
15608
Single Precision Score
17313
Half Precision Score
15688
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 27 2025 01:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7739
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8466
1.57 KIPS |
|
|
Image Classification (Q)
|
97% |
7128
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12330
199.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13228
214.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13518
219.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56849
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59275
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56131
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7321
580.7 IPS |
|
|
Object Detection (HP)
|
100% |
7776
616.8 IPS |
|
|
Object Detection (Q)
|
91% |
6453
515.6 IPS |
|
|
Face Detection (SP)
|
100% |
25414
302.0 IPS |
|
|
Face Detection (HP)
|
100% |
29160
346.5 IPS |
|
|
Face Detection (Q)
|
100% |
21571
256.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33690
259.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36211
279.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
30480
238.2 IPS |
|
|
Style Transfer (SP)
|
100% |
124735
160.3 IPS |
|
|
Style Transfer (HP)
|
100% |
135527
174.2 IPS |
|
|
Style Transfer (Q)
|
96% |
127934
165.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23488
867.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25138
928.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20122
743.0 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5298
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2886
49.9 IPS |
