Mac Studio (2025)
Geekbench AI Score
6039
Single Precision Score
36806
Half Precision Score
49857
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | pag46 |
| Upload Date | January 18 2026 12:28 PM |
| Views | 5 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (HP)
|
100% |
17854
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
21472
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23096
374.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31871
516.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18504
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123406
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230854
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2744
217.6 IPS |
|
|
Object Detection (HP)
|
100% |
19487
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24333
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
44268
526.0 IPS |
|
|
Face Detection (Q)
|
100% |
62822
746.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8998
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104003
801.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177063
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
31711
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231505
297.6 IPS |
|
|
Style Transfer (Q)
|
96% |
320128
413.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47905
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78360
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6709
115.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15934
274.5 IPS |
|
|
Machine Translation (Q)
|
98% |
15918
275.1 IPS |
