Mac Studio (2023)
Geekbench AI Score
4141
Single Precision Score
6754
Half Precision Score
5286
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jonvharrison |
| Upload Date | December 08 2024 04:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2926
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12926
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25121
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19002
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
2016
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
5956
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3398
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6301
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12378
95.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8205
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25115
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38832
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29712
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5128
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4448
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6325
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6270
108.3 IPS |
