Mac Studio (2025)
Geekbench AI Score
6068
Single Precision Score
37482
Half Precision Score
50643
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Pessfyr |
| Upload Date | January 05 2026 08:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2211
411.2 IPS |
|
|
Image Classification (HP)
|
100% |
17745
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
21821
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23288
377.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31583
512.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18581
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122982
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232188
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
19916
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24818
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5362
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
44993
534.6 IPS |
|
|
Face Detection (Q)
|
100% |
64435
765.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9089
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110838
853.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181153
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
31636
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234531
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
322065
415.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7137
263.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49349
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79319
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16460
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16512
285.3 IPS |
