Mac Studio
Geekbench AI Score
3669
Single Precision Score
14978
Half Precision Score
14551
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gtuck |
| Upload Date | December 03 2025 07:50 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6351
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5972
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8749
141.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9399
152.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10509
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
68457
79.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
62467
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
6956
553.3 IPS |
|
|
Object Detection (Q)
|
91% |
6512
520.4 IPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
13739
163.2 IPS |
|
|
Face Detection (Q)
|
100% |
12464
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47316
364.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46387
362.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22135
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116429
149.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110632
142.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4200
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25015
923.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25615
945.8 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2825
48.8 IPS |
