Mac Studio (2025)
Geekbench AI Score
5985
Single Precision Score
36511
Half Precision Score
49462
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 27 2026 04:06 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac Studio (2025) |
| 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% |
2193
407.9 IPS |
|
|
Image Classification (HP)
|
100% |
16852
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
20711
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22362
362.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31948
517.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18337
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122096
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229267
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
19391
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23946
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5274
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
44368
527.2 IPS |
|
|
Face Detection (Q)
|
100% |
62192
739.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9026
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
107016
824.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174518
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
31619
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
230349
296.1 IPS |
|
|
Style Transfer (Q)
|
96% |
314962
406.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47149
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77124
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6544
112.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16134
277.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16334
282.3 IPS |
