Mac Studio (2023)
Geekbench AI Score
4184
Single Precision Score
6771
Half Precision Score
5330
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 09:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2278
423.6 IPS |
|
|
Image Classification (Q)
|
96% |
1681
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3030
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12846
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24655
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19183
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
97% |
2719
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
5839
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3527
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12212
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8165
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24892
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38860
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30028
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5162
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7095
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4441
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6373
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6241
107.8 IPS |
