Mac16,12
Geekbench AI Score
9329
Single Precision Score
10462
Half Precision Score
9844
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 24 2025 10:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4486
834.3 IPS |
|
|
Image Classification (HP)
|
100% |
4946
919.8 IPS |
|
|
Image Classification (Q)
|
96% |
4347
811.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7137
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7612
123.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7659
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27205
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30980
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30050
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4634
367.5 IPS |
|
|
Object Detection (HP)
|
100% |
5235
415.2 IPS |
|
|
Object Detection (Q)
|
92% |
4810
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
12818
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16040
190.6 IPS |
|
|
Face Detection (Q)
|
100% |
13592
161.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19991
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21908
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20201
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55934
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67441
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65593
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11667
430.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11583
427.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10296
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5688
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1646
28.4 IPS |
