Mac16,12
Geekbench AI Score
8982
Single Precision Score
10499
Half Precision Score
10305
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | January 09 2026 10:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4473
831.9 IPS |
|
|
Image Classification (HP)
|
100% |
4939
918.5 IPS |
|
|
Image Classification (Q)
|
96% |
4360
814.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7168
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7700
124.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7621
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27134
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30974
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30101
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (HP)
|
100% |
5225
414.4 IPS |
|
|
Object Detection (Q)
|
92% |
4783
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
12737
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
15972
189.8 IPS |
|
|
Face Detection (Q)
|
100% |
13502
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20154
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21947
169.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20014
156.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56196
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67383
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
65541
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11351
419.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11703
432.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10273
379.3 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5797
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5773
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2688
46.5 IPS |
