Mac16,12
Geekbench AI Score
4829
Single Precision Score
7901
Half Precision Score
6366
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 11:22 AM |
| Views | 3 |
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% |
3343
621.7 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9985
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19438
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16676
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7330
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4382
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14619
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10204
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21624
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38481
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31912
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4366
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7241
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7228
124.9 IPS |
