Mac Studio
Geekbench AI Score
10624
Single Precision Score
11601
Half Precision Score
10174
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 24 2024 09:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
4449
827.4 IPS |
|
|
Image Classification (HP)
|
100% |
4406
819.4 IPS |
|
|
Image Classification (Q)
|
97% |
3782
705.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8624
139.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8535
138.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8600
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47251
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49401
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45590
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
4688
371.9 IPS |
|
|
Object Detection (HP)
|
100% |
4895
388.3 IPS |
|
|
Object Detection (Q)
|
91% |
4093
327.1 IPS |
|
|
Face Detection (SP)
|
100% |
18204
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
19249
228.7 IPS |
|
|
Face Detection (Q)
|
100% |
13458
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23340
179.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24613
189.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20095
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
79737
102.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94433
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
88863
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15502
572.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15601
576.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12395
457.7 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1671
28.9 IPS |
