Mac Studio M4 Max Mac16,9
Geekbench AI Score
5959
Single Precision Score
9195
Half Precision Score
7044
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gundamf90 |
| Upload Date | March 13 2025 01:05 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, 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% |
2133
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
3081
573.0 IPS |
|
|
Image Classification (Q)
|
96% |
2206
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3942
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19202
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32876
38.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25243
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3923
312.3 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8092
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9059
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15101
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10324
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36625
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52722
67.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40447
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7267
268.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9776
361.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5351
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5358
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9024
155.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9047
156.3 IPS |
