Mac16,1
Geekbench AI Score
9267
Single Precision Score
11221
Half Precision Score
9842
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | burakozaydin |
| Upload Date | November 09 2024 03:57 PM |
| Views | 1 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4743
882.1 IPS |
|
|
Image Classification (HP)
|
100% |
5176
962.6 IPS |
|
|
Image Classification (Q)
|
97% |
4507
841.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7069
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7654
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29917
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32200
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30644
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
5010
397.4 IPS |
|
|
Object Detection (HP)
|
100% |
5484
435.0 IPS |
|
|
Object Detection (Q)
|
91% |
4694
375.1 IPS |
|
|
Face Detection (SP)
|
100% |
13029
154.8 IPS |
|
|
Face Detection (HP)
|
100% |
16438
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
12085
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21658
166.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23981
184.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20184
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
60112
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72380
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
67877
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12543
463.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13742
507.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10985
405.6 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1739
30.1 IPS |
