Mac16,1
Geekbench AI Score
4749
Single Precision Score
36523
Half Precision Score
51440
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | November 05 2024 04:21 PM |
| Views | 15 |
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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
17190
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24595
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21879
354.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30101
488.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123564
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232890
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
18502
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26066
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
43509
517.0 IPS |
|
|
Face Detection (Q)
|
100% |
62953
748.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8372
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99016
762.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168430
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25447
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232582
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296928
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49153
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83330
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6066
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6071
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18125
313.2 IPS |
