Mac16,12
Geekbench AI Score
4941
Single Precision Score
36125
Half Precision Score
50656
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 03:13 PM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17046
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23665
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21726
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30197
489.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122294
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232456
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
17889
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26079
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4280
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
43262
514.0 IPS |
|
|
Face Detection (Q)
|
100% |
59204
703.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8507
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99569
767.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163389
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24354
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231673
297.8 IPS |
|
|
Style Transfer (Q)
|
96% |
319634
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51123
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82808
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4598
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16400
282.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18142
313.5 IPS |
