Mac Studio M4 Max Mac16,9
Geekbench AI Score
21437
Single Precision Score
23530
Half Precision Score
21263
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tebruno99 |
| Upload Date | March 28 2025 12:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9883
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10222
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
8586
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19628
318.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20264
328.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20934
339.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106353
124.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
109532
127.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103271
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
9012
714.8 IPS |
|
|
Object Detection (HP)
|
100% |
9861
782.2 IPS |
|
|
Object Detection (Q)
|
91% |
8430
673.6 IPS |
|
|
Face Detection (SP)
|
100% |
38805
461.1 IPS |
|
|
Face Detection (HP)
|
100% |
41865
497.4 IPS |
|
|
Face Detection (Q)
|
100% |
32148
382.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44194
340.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47097
362.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
40043
313.0 IPS |
|
|
Style Transfer (SP)
|
100% |
219771
282.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237929
305.9 IPS |
|
|
Style Transfer (Q)
|
96% |
218889
282.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30380
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32009
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26824
990.5 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5329
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3254
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2906
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2964
51.2 IPS |
