Mac16,1
Geekbench AI Score
4476
Single Precision Score
7438
Half Precision Score
5973
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | September 16 2025 09:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
3128
581.8 IPS |
|
|
Image Classification (Q)
|
96% |
2139
399.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3187
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8906
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17244
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15452
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3544
282.1 IPS |
|
|
Object Detection (Q)
|
94% |
2475
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6412
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8048
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13305
102.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9241
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19647
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36878
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29832
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6978
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4742
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5756
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7298
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7334
126.7 IPS |
