Mac16,6
Geekbench AI Score
5851
Single Precision Score
34915
Half Precision Score
46994
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 07:11 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 | 4.50 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
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
16813
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
21889
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22605
366.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30947
501.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19074
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122933
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
229058
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
18611
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
23268
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4734
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
43878
521.4 IPS |
|
|
Face Detection (Q)
|
100% |
63035
749.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9011
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
108041
832.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
173617
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
35686
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232110
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297115
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7094
261.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45063
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74335
2.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5967
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15753
271.4 IPS |
|
|
Machine Translation (Q)
|
98% |
15760
272.4 IPS |
