Mac Studio (2025)
Geekbench AI Score
6071
Single Precision Score
9650
Half Precision Score
7364
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Pessfyr |
| Upload Date | January 02 2026 05:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2196
408.3 IPS |
|
|
Image Classification (HP)
|
100% |
3019
561.4 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18702
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
35048
40.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
27324
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (HP)
|
97% |
4061
323.3 IPS |
|
|
Object Detection (Q)
|
94% |
2824
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
5339
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
8764
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
4903
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15183
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10002
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31646
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
57853
74.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44281
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9906
365.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5544
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
3334
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5796
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5730
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6671
114.9 IPS |
|
|
Machine Translation (HP)
|
98% |
10076
174.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10066
174.0 IPS |
