Mac Studio (2025)
Geekbench AI Score
22043
Single Precision Score
24979
Half Precision Score
23076
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | fillmore |
| Upload Date | January 20 2026 02:17 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9308
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9831
1.83 KIPS |
|
|
Image Classification (Q)
|
96% |
8965
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23076
374.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23439
380.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22807
369.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
96954
113.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105552
123.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
101152
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
8004
634.9 IPS |
|
|
Object Detection (HP)
|
100% |
8946
709.6 IPS |
|
|
Object Detection (Q)
|
92% |
8373
668.3 IPS |
|
|
Face Detection (SP)
|
100% |
35768
425.0 IPS |
|
|
Face Detection (HP)
|
100% |
42491
504.9 IPS |
|
|
Face Detection (Q)
|
100% |
34252
407.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
40801
314.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43988
338.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
40541
316.7 IPS |
|
|
Style Transfer (SP)
|
100% |
205579
264.3 IPS |
|
|
Style Transfer (HP)
|
100% |
223560
287.4 IPS |
|
|
Style Transfer (Q)
|
96% |
214414
276.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28841
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30360
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24315
897.8 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5822
100.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6105
105.5 IPS |
