Mac Studio
Geekbench AI Score
11266
Single Precision Score
12588
Half Precision Score
11375
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DJENT |
| Upload Date | March 12 2025 01:02 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
5391
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5470
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4715
879.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10257
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10508
170.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10618
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57124
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60606
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55687
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
4306
341.5 IPS |
|
|
Object Detection (HP)
|
100% |
5379
426.6 IPS |
|
|
Object Detection (Q)
|
91% |
4776
381.7 IPS |
|
|
Face Detection (SP)
|
100% |
21616
256.8 IPS |
|
|
Face Detection (HP)
|
100% |
21172
251.6 IPS |
|
|
Face Detection (Q)
|
100% |
16621
197.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26605
205.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28012
215.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
23529
183.9 IPS |
|
|
Style Transfer (SP)
|
100% |
97258
125.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121505
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
113928
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17323
639.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17965
663.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14745
544.5 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1035
17.9 IPS |
