Mac16,1
Geekbench AI Score
4805
Single Precision Score
32716
Half Precision Score
41228
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | weinand |
| Upload Date | April 07 2025 09:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
17114
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
19515
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17656
286.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
17290
280.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
118753
138.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
225093
264.0 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
16956
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
25380
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4120
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
25649
304.8 IPS |
|
|
Face Detection (Q)
|
100% |
45406
539.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8564
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82950
639.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
92089
712.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21512
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
170034
218.6 IPS |
|
|
Style Transfer (Q)
|
100% |
169887
218.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50318
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
84109
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
7714
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
6747
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4356
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18261
315.6 IPS |
