Mac Studio
Geekbench AI Score
3641
Single Precision Score
14695
Half Precision Score
14533
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | michaldepta |
| Upload Date | January 06 2026 09:46 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
6039
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5718
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8738
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9283
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10488
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67867
79.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
64328
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
6908
549.5 IPS |
|
|
Object Detection (Q)
|
91% |
6491
518.7 IPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
13014
154.6 IPS |
|
|
Face Detection (Q)
|
100% |
12239
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44669
344.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
46788
365.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22194
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117201
150.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110346
142.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24865
918.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26765
988.3 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4109
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2775
48.0 IPS |
