Mac16,9
Geekbench AI Score
5601
Single Precision Score
9265
Half Precision Score
7183
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wbednarski |
| Upload Date | May 10 2025 09:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
3118
579.8 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4003
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18280
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33044
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25180
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4854
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
8084
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4665
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8806
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14861
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10503
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26356
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52605
67.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40130
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10159
375.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6103
225.4 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5410
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6192
106.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9435
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9442
163.2 IPS |
