Mac Studio (2025)
Geekbench AI Score
24164
Single Precision Score
27253
Half Precision Score
25499
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | gemino |
| Upload Date | February 27 2026 06:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
10129
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
10662
1.98 KIPS |
|
|
Image Classification (Q)
|
96% |
10292
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23329
378.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24271
393.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23056
373.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
102252
119.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
111008
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
107205
125.6 IPS |
|
|
Object Detection (SP)
|
100% |
8985
712.7 IPS |
|
|
Object Detection (HP)
|
100% |
10487
831.8 IPS |
|
|
Object Detection (Q)
|
91% |
8798
703.1 IPS |
|
|
Face Detection (SP)
|
100% |
42689
507.2 IPS |
|
|
Face Detection (HP)
|
100% |
45409
539.6 IPS |
|
|
Face Detection (Q)
|
100% |
40954
486.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44127
340.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47051
362.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
45352
354.9 IPS |
|
|
Style Transfer (SP)
|
100% |
219163
281.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235188
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
234605
302.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29718
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32198
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27317
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5688
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5748
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
7730
133.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8154
140.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7591
131.2 IPS |
