Mac16,1
Geekbench AI Score
4699
Single Precision Score
7774
Half Precision Score
6220
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | November 10 2024 09:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
3310
615.6 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3348
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3629
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9952
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16484
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7306
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14586
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10134
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25222
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38432
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31685
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6787
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6743
116.5 IPS |
