Mac Studio (2025)
Geekbench AI Score
5843
Single Precision Score
37117
Half Precision Score
50450
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | itroos |
| Upload Date | December 20 2025 11:01 PM |
| Views | 13 |
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 | 3.95 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2143
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
17981
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22097
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23401
379.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32583
528.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18312
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123622
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
228029
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
20269
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24046
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4904
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
42697
507.3 IPS |
|
|
Face Detection (Q)
|
100% |
62808
746.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8692
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109241
841.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
181533
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
31124
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233631
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
322552
416.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7120
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48499
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79782
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6434
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16060
276.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16708
288.7 IPS |
