Mac16,12
Geekbench AI Score
4833
Single Precision Score
7942
Half Precision Score
6416
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | deutros |
| Upload Date | July 09 2025 02:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19448
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16704
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2719
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4503
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14672
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10312
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21755
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38669
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32022
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7319
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7280
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7514
129.9 IPS |
