Mac16,12
Geekbench AI Score
9046
Single Precision Score
10479
Half Precision Score
8943
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | February 05 2026 04:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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% |
4226
786.0 IPS |
|
|
Image Classification (HP)
|
100% |
4461
829.6 IPS |
|
|
Image Classification (Q)
|
96% |
4213
786.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5950
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6402
103.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6194
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20371
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23624
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
24455
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4425
351.0 IPS |
|
|
Object Detection (HP)
|
100% |
4794
380.3 IPS |
|
|
Object Detection (Q)
|
91% |
4667
373.0 IPS |
|
|
Face Detection (SP)
|
100% |
12278
145.9 IPS |
|
|
Face Detection (HP)
|
100% |
15324
182.1 IPS |
|
|
Face Detection (Q)
|
100% |
14144
168.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18433
142.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19678
151.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
18379
143.8 IPS |
|
|
Style Transfer (SP)
|
100% |
46736
60.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53322
68.5 IPS |
|
|
Style Transfer (Q)
|
96% |
51225
66.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9127
337.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9691
357.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8487
313.4 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5065
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5551
95.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1673
28.9 IPS |
