Mac16,12
Geekbench AI Score
4931
Single Precision Score
36689
Half Precision Score
52021
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | December 05 2025 08:07 AM |
| Views | 8 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
17424
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25880
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22016
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30593
495.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122873
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232330
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
18944
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26084
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4288
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42771
508.2 IPS |
|
|
Face Detection (Q)
|
100% |
61378
729.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8539
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99443
766.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168597
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23971
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234638
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
320776
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51541
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87098
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5676
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16955
292.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18560
320.7 IPS |
