Mac16,6
Geekbench AI Score
5851
Single Precision Score
34621
Half Precision Score
45654
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 06:57 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% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
16493
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22550
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22557
365.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31094
504.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19134
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123406
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228745
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2540
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
18541
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
22652
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4717
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
44074
523.7 IPS |
|
|
Face Detection (Q)
|
100% |
63014
748.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8971
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104414
804.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175637
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35793
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
227368
292.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296100
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45214
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74837
2.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2828
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5972
102.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15970
275.1 IPS |
|
|
Machine Translation (Q)
|
98% |
15612
269.8 IPS |
