Mac16,1
Geekbench AI Score
9270
Single Precision Score
11239
Half Precision Score
9489
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | November 10 2024 09:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4741
881.7 IPS |
|
|
Image Classification (HP)
|
100% |
5168
961.1 IPS |
|
|
Image Classification (Q)
|
97% |
4491
838.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5057
82.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7171
116.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7702
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29872
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32204
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30719
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5075
402.6 IPS |
|
|
Object Detection (HP)
|
100% |
5491
435.6 IPS |
|
|
Object Detection (Q)
|
91% |
4682
374.1 IPS |
|
|
Face Detection (SP)
|
100% |
13083
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
17193
204.3 IPS |
|
|
Face Detection (Q)
|
100% |
12433
147.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21748
167.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24112
185.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20377
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60325
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72371
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
67855
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12523
462.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13710
506.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10982
405.5 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5317
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2244
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1153
19.9 IPS |
