Mac Studio (M4 Max) Mac16,9
Geekbench AI Score
5614
Single Precision Score
9211
Half Precision Score
7137
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | noctilust |
| Upload Date | March 23 2025 05:20 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
3088
574.3 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3945
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18174
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32823
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25070
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.7 IPS |
|
|
Object Detection (HP)
|
97% |
3858
307.2 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4883
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
8174
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4728
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8861
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14792
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10317
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26535
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54190
69.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40216
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10005
369.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6051
223.4 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9250
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9300
160.7 IPS |
