Mac16,9
Geekbench AI Score
5980
Single Precision Score
9171
Half Precision Score
7034
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sabotage |
| Upload Date | March 17 2025 04:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.8 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3649
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19279
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32139
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24848
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.1 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8135
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4783
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14847
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10398
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37292
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53882
69.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39851
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9607
354.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5295
195.5 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5315
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6174
106.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9020
155.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9125
157.7 IPS |
