Mac16,1
Geekbench AI Score
4761
Single Precision Score
36489
Half Precision Score
50988
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | November 12 2024 10:25 AM |
| Views | 2 |
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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
17341
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23809
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21925
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30058
487.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123408
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233316
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
18539
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25771
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43250
513.9 IPS |
|
|
Face Detection (Q)
|
100% |
61260
727.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98919
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168473
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25422
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230775
296.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296316
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49337
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82534
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6005
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5977
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18295
316.2 IPS |
