Mac16,6
Geekbench AI Score
5967
Single Precision Score
37074
Half Precision Score
49878
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | November 12 2024 07:08 PM |
| Views | 15 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
18202
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
22383
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23886
387.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32001
518.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19220
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123825
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229380
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
19536
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24474
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
43999
522.8 IPS |
|
|
Face Detection (Q)
|
100% |
64078
761.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9093
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109912
846.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178210
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37028
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232816
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295918
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7295
269.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46879
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78262
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5284
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6013
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16727
288.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16622
287.3 IPS |
