Mac Studio M4 Max 16 core Mac16,9
Geekbench AI Score
6034
Single Precision Score
36737
Half Precision Score
49655
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | whplein |
| Upload Date | December 10 2025 01:57 AM |
| Views | 6 |
| Notes | Mac16,9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
16745
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
20928
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23088
374.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31862
516.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18519
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122416
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231508
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
19263
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23587
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5322
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
44311
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
63297
752.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9070
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109001
839.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178563
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
31794
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232040
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
321239
414.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47706
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76968
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6676
115.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16280
280.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16193
279.8 IPS |
