Mac16,1
Geekbench AI Score
9567
Single Precision Score
11833
Half Precision Score
9453
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | weinand |
| Upload Date | April 07 2025 09:27 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4701
874.3 IPS |
|
|
Image Classification (HP)
|
100% |
5045
938.2 IPS |
|
|
Image Classification (Q)
|
99% |
5063
944.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7569
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8433
136.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8048
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29771
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32022
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30563
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4935
391.5 IPS |
|
|
Object Detection (HP)
|
100% |
5464
433.4 IPS |
|
|
Object Detection (Q)
|
92% |
4974
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
12549
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
17063
202.7 IPS |
|
|
Face Detection (Q)
|
100% |
13659
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21550
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24216
186.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
3913
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60093
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72453
93.1 IPS |
|
|
Style Transfer (Q)
|
100% |
72373
93.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12811
473.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13886
512.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11665
432.2 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5311
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5323
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3831
66.2 IPS |
