Mac16,12
Geekbench AI Score
4884
Single Precision Score
36952
Half Precision Score
52487
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | February 15 2026 05:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
18647
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
27182
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22228
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30614
496.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122810
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232605
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
18581
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26823
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4173
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
43348
515.1 IPS |
|
|
Face Detection (Q)
|
100% |
61717
733.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100109
771.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168222
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24032
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233560
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
319667
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52242
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85694
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5729
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5788
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4508
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16544
285.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18567
320.9 IPS |
