Mac Studio
Geekbench AI Score
11178
Single Precision Score
12371
Half Precision Score
11105
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
5007
931.2 IPS |
|
|
Image Classification (HP)
|
100% |
5127
953.5 IPS |
|
|
Image Classification (Q)
|
97% |
4427
826.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10304
167.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10254
166.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10449
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56937
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
60270
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
55507
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
4764
377.9 IPS |
|
|
Object Detection (HP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (Q)
|
91% |
4593
367.0 IPS |
|
|
Face Detection (SP)
|
100% |
21035
249.9 IPS |
|
|
Face Detection (HP)
|
100% |
21901
260.2 IPS |
|
|
Face Detection (Q)
|
100% |
14845
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26310
202.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27151
209.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
23125
180.7 IPS |
|
|
Style Transfer (SP)
|
100% |
96504
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120223
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112563
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16682
616.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16787
619.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14325
528.9 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1108
19.2 IPS |
