Mac16,12
Geekbench AI Score
8415
Single Precision Score
9626
Half Precision Score
8581
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | edsvo |
| Upload Date | August 22 2025 10:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4033
750.0 IPS |
|
|
Image Classification (HP)
|
100% |
4264
793.0 IPS |
|
|
Image Classification (Q)
|
96% |
4020
750.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6211
100.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6492
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6345
102.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22697
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24020
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23788
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4261
338.0 IPS |
|
|
Object Detection (HP)
|
100% |
4713
373.8 IPS |
|
|
Object Detection (Q)
|
92% |
4289
342.3 IPS |
|
|
Face Detection (SP)
|
100% |
11898
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
14495
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
11796
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18814
145.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19669
151.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
18234
142.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49566
63.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55042
70.8 IPS |
|
|
Style Transfer (Q)
|
96% |
53901
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9862
364.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9922
366.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8709
321.6 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1524
26.3 IPS |
