Mac16,12
Geekbench AI Score
4894
Single Precision Score
36943
Half Precision Score
52212
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | December 26 2025 02:23 AM |
| Views | 3 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
17829
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
25744
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22265
360.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30598
496.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9856
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123059
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232334
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
18958
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26773
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
43753
519.9 IPS |
|
|
Face Detection (Q)
|
100% |
62730
745.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8446
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99460
766.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168171
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23715
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234016
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
322261
415.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52744
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86968
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5704
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4565
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16690
287.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18484
319.4 IPS |
