Mac16,1
Geekbench AI Score
4723
Single Precision Score
36377
Half Precision Score
51389
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 06:14 PM |
| Views | 3 |
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% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
17226
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
25092
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21802
353.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30217
489.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124419
145.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232931
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
18014
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25846
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
43378
515.4 IPS |
|
|
Face Detection (Q)
|
100% |
61677
732.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98931
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169145
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25252
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232908
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295836
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49751
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83550
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6024
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16417
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18115
313.1 IPS |
