Mac Studio
Geekbench AI Score
3811
Single Precision Score
15987
Half Precision Score
15759
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | lpiris |
| Upload Date | February 28 2026 03:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
6088
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9167
148.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9898
160.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10328
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69582
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
64585
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7402
588.8 IPS |
|
|
Object Detection (Q)
|
89% |
6928
554.6 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
14286
169.7 IPS |
|
|
Face Detection (Q)
|
100% |
13532
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48873
376.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
51654
404.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21961
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122088
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114645
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25348
936.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26658
984.3 IPS |
|
|
Text Classification (SP)
|
99% |
4016
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6170
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5980
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2743
47.4 IPS |
