Mac16,6
Geekbench AI Score
5886
Single Precision Score
35693
Half Precision Score
49128
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | November 12 2024 03:17 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
16967
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
23315
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22674
367.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31114
504.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19121
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122935
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230057
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
18840
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
22805
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
43922
521.9 IPS |
|
|
Face Detection (Q)
|
100% |
62051
737.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8994
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104103
802.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175814
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35913
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233143
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296803
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45152
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75634
2.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4939
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6022
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15848
273.0 IPS |
|
|
Machine Translation (Q)
|
98% |
15647
270.4 IPS |
