Mac16,6
Geekbench AI Score
5844
Single Precision Score
35355
Half Precision Score
47654
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 06:56 AM |
| Views | 2 |
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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
16517
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22868
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22992
372.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30994
502.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19106
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122972
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229971
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2530
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
18291
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
23298
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
41734
495.9 IPS |
|
|
Face Detection (Q)
|
100% |
54390
646.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8968
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107941
831.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177218
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35797
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231816
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294308
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44771
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74856
2.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4695
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5985
103.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15981
275.3 IPS |
|
|
Machine Translation (Q)
|
98% |
15952
275.7 IPS |
