Mac16,1
Geekbench AI Score
4771
Single Precision Score
36681
Half Precision Score
50809
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | November 12 2024 10:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
18093
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
26904
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21974
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29063
471.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10015
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123301
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232726
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
18663
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25733
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
43367
515.3 IPS |
|
|
Face Detection (Q)
|
100% |
61859
735.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8428
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98985
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169514
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25440
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231711
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295309
381.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49234
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85555
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5112
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16449
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18083
312.5 IPS |
