Mac Studio (2025)
Geekbench AI Score
5960
Single Precision Score
38685
Half Precision Score
52729
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | gemino |
| Upload Date | February 27 2026 06:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2174
404.4 IPS |
|
|
Image Classification (HP)
|
100% |
19937
3.71 KIPS |
|
|
Image Classification (Q)
|
97% |
23643
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23531
381.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32033
519.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18362
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123200
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233659
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
21411
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
26860
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
5213
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
45446
540.0 IPS |
|
|
Face Detection (Q)
|
100% |
67422
801.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9017
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109769
845.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
183133
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
31603
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234435
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
322564
416.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7071
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50782
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87082
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5556
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6446
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
18262
314.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18140
313.5 IPS |
