Mac Studio
Geekbench AI Score
3603
Single Precision Score
14907
Half Precision Score
14564
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | enrogue |
| Upload Date | February 13 2026 03:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
6245
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5985
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8879
143.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9433
152.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10431
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69633
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
63659
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
6838
543.9 IPS |
|
|
Object Detection (Q)
|
91% |
6621
529.0 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
13361
158.8 IPS |
|
|
Face Detection (Q)
|
100% |
12421
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46568
358.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47266
369.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22044
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119031
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112781
145.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25690
948.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25814
953.2 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4178
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2595
44.8 IPS |
