Mac Studio (2025)
Geekbench AI Score
4691
Single Precision Score
7914
Half Precision Score
6048
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 17 2026 07:35 AM |
| Views | 2 |
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 | 3.89 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.3 IPS |
|
|
Image Classification (Q)
|
96% |
1803
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3050
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3164
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16327
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29920
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23112
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
3032
241.4 IPS |
|
|
Object Detection (Q)
|
94% |
2171
173.0 IPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7183
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
3815
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7680
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13723
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8985
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29254
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51238
65.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38257
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4634
171.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7584
280.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4759
175.7 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5904
101.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9331
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9375
162.0 IPS |
