M4 Mac Studio Mac16,9
Geekbench AI Score
5601
Single Precision Score
37889
Half Precision Score
51363
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Morac |
| Upload Date | April 29 2025 10:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
17917
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
23230
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22924
371.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32246
522.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18312
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122540
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230253
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
20456
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24659
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4911
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
45365
539.0 IPS |
|
|
Face Detection (Q)
|
100% |
67240
799.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8860
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
109519
843.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
180120
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25804
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232396
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297419
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45848
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79980
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6586
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6227
107.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16988
292.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16720
288.9 IPS |
