Mac16,12
Geekbench AI Score
4932
Single Precision Score
36503
Half Precision Score
51051
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tavcsor |
| Upload Date | November 27 2025 10:43 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
16951
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
24552
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21724
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30202
489.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10083
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122497
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233312
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
18132
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26260
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43017
511.1 IPS |
|
|
Face Detection (Q)
|
100% |
59786
710.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99386
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166009
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24280
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234143
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
323464
417.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53256
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82088
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17117
294.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18184
314.2 IPS |
