Mac Studio (2025)
Geekbench AI Score
6017
Single Precision Score
36469
Half Precision Score
49202
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 23 2025 11:44 AM |
| Views | 8 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
17582
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21723
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23409
379.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31641
512.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18562
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123726
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
228842
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
19676
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24593
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
43639
518.5 IPS |
|
|
Face Detection (Q)
|
100% |
62915
747.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9037
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104754
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162356
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
32189
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229527
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
314802
406.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7084
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43590
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73877
2.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6548
112.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16198
279.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16214
280.2 IPS |
