Mac16,12
Geekbench AI Score
4916
Single Precision Score
7976
Half Precision Score
6420
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3178
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3517
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19433
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16566
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2420
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4229
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4411
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13987
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9879
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23975
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38633
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31673
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5734
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5988
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7926
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7937
137.2 IPS |
