Mac16,6
Geekbench AI Score
5828
Single Precision Score
8999
Half Precision Score
7513
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cletsinger |
| Upload Date | March 20 2025 04:30 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
3055
568.2 IPS |
|
|
Image Classification (Q)
|
99% |
3070
572.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3555
57.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19045
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31586
36.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
24057
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8104
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
4587
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8731
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14566
112.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
14346
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35799
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49510
63.6 IPS |
|
|
Style Transfer (Q)
|
100% |
49430
63.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9568
353.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5226
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5379
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5342
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5952
102.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8826
152.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8922
154.2 IPS |
