Mac16,6
Geekbench AI Score
5986
Single Precision Score
36603
Half Precision Score
48872
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ebalog |
| Upload Date | November 09 2024 07:45 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
17510
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22316
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22671
367.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30744
498.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19186
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123319
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231637
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
19815
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24031
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
44555
529.4 IPS |
|
|
Face Detection (Q)
|
100% |
58452
694.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104853
807.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179630
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37337
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232800
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298473
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7278
268.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45849
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78430
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5262
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5072
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6171
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16964
292.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16330
282.2 IPS |
