Mac16,1
Geekbench AI Score
4749
Single Precision Score
36298
Half Precision Score
51420
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | November 12 2024 10:22 AM |
| 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
16871
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24879
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21682
351.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30233
490.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124210
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233043
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
18249
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25971
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
43324
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
60586
719.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8383
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99045
763.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168640
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25431
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232669
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295499
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48903
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83021
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16436
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18417
318.3 IPS |
