Mac Studio (2025)
Geekbench AI Score
6042
Single Precision Score
36937
Half Precision Score
50022
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Pessfyr |
| Upload Date | January 02 2026 05:41 PM |
| Views | 9 |
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% |
2195
408.2 IPS |
|
|
Image Classification (HP)
|
100% |
17449
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21798
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23173
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31634
512.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18480
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122333
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231374
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
19525
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
25263
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
5346
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
44168
524.8 IPS |
|
|
Face Detection (Q)
|
100% |
63457
754.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9068
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108541
836.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176370
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
31636
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231979
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
310745
401.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7069
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47900
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76842
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5697
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
6760
116.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15838
272.8 IPS |
|
|
Machine Translation (Q)
|
98% |
15987
276.3 IPS |
