Mac16,12
Geekbench AI Score
4711
Single Precision Score
36513
Half Precision Score
52117
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 14 2025 08:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
17586
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
25124
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21903
355.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30364
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123861
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233222
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
18493
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26007
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
42878
509.5 IPS |
|
|
Face Detection (Q)
|
100% |
63777
757.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8318
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99094
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170576
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233361
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301656
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5886
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48821
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88171
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6002
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6163
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16431
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17918
309.6 IPS |
